Tensorflow js examples

Tensorflow js examples. Core API. IMTanuki January 2, 2024, 5:22am #1. Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4. js conversion each with increasing complexity: A simple JAX function. This section describes the signature for Single-Shot Detector models converted to TensorFlow Lite from the TensorFlow Object Detection API. This page shows you how to build an Android app with TensorFlow Lite to analyze a live camera feed and identify objects. ⭐ Utilize gpu (through webgl) and web worker for performance. json can be converted from a Keras HDF5 Mar 6, 2024 · Models and layers. Los instructivos de TensorFlow se escriben como notebooks de Jupyter y se ejecutan directamente en Google Colab, un entorno para notebooks alojado que no requiere configuración. Specifically, it showcases an implementation of the policy-gradient method in TensorFlow. js; TensorFlow. js para que puedas remezclarlo. Today we are excited to announce a major performance update: as of TensorFlow. js: Addition RNN. js guide. . js example of Auxiliary Classifier Generative Adversarial Network (ACGAN). js, see the Node. js, which runs in Node. js provides two things: The CoreAPI, which deals with the low level code; LayerAPI is built over the CoreAPI, and makes our lives easier by increasing the level of abstraction. These may be models you have trained yourself or those trained by others. If you are using a platform other than Android or iOS, or you are already familiar with the TensorFlow Lite APIs, you can follow this tutorial to learn how to apply style transfer on any pair of content and style image with a pre-trained TensorFlow Lite model. The training code is in gan. TensorFlow. You can find the original Keras python A WebGL accelerated, browser based JavaScript library for training and deploying ML models menu Overview API Reference Node API tfjs-vis API tfjs-react-native API tfjs-tflite API Task API TensorFlow. js Example: Addition RNN . com Run existing models anywhere Javascript can run. import numpy as np. js, and Plotly. Sequential model and load data using tf. You can use the model to add style transfer to your own Introduction. However, I didn’t manage to try it out up until now. Click the button to open the notebook and run the code yourself. Since HDF5 is not a browser-friendly file format, tf. js, use either the npm CLI or yarn to complete one of the installation options below. ⭐ Written in pure javascript, end-to-end from the underlying computer vision engine to frontend. The model is trained using policy gradient (REINFORCE) and you can find the training code here . May 3, 2023 · In this tutorial you'll explore an example web application that demonstrates transfer learning using the TensorFlow. Aug 30, 2023 · Quickstart for Android. js to do predictive prefetching of resources. Today, we’re going to dive deeper into TensorFlow and discuss its benefits, features, models, and surface (options) method Source. Tensors. In this article, we are going to get to know how to use this technology, and we are going to do it on one real-world classification problem. Main Features are: Graphic tools for visualizing Machine Learning; Functions for visualizing TensorFlow Objects; Visualizations can be organized in a Visor (a modal browser window) Can be used with Custom Tools likes d3, Chart. js AutoML, Set of APIs to load and run models produced by AutoML Edge. js repository. Option 1: Install TensorFlow. js In this video, we're going to begin building our first client-side neural network application using TensorFlow. matMul(a, b), it will block the main thread until the operation has completed. This layer will randomly adjusts the width of a batch of images of a batch of images by a random factor. 3. js-specific format. May 17, 2020 · After this reboot, some of the TFJS examples will use the GPU, such as the Visualizing Training example, which now trains almost instantly instead of taking a few minutes to train. import tensorflow_recommenders as tfrs. from typing import Dict, Text. May 2, 2018 · Magenta. The TensorFlow Lite interpreter is designed to be lean and fast. , 2018) (USE), which is a model that encodes text into 512-dimensional embedding (or, in Mar 19, 2024 · import tensorflow_docs. // Create a surface on a tab. tfvis. The general rule of thumb is to try to use the Layers API first, since it is modeled after the well-adopted Keras API. log('Hello TensorFlow'); Nota: Si te encuentras en un kiosco de codelab, te recomendamos que uses glitch. Aug 31, 2022 · In this blog post we demonstrate how to convert and run Python-based JAX functions and Flax machine learning models in the browser using TensorFlow. js on Raspberry Pi. Alternative: Use the Python API to export directly to TF. First, we'll train the classifier by having it “look” at thousands of handwritten digit images and their labels. com, search for "tigers", and select Images in the results page. js and the layers API. utils. To limit TensorFlow to a specific set of GPUs, use the tf. Incorporate testing data. Développez des modèles de machine learning en JavaScript et utilisez le machine learning directement dans le navigateur ou dans Node. Keywords: Decision Forests, TensorFlow, Random Forest, Gradient Boosted Trees, CART, model interpretation. [0. A tensor is a generalization of vectors and matrices to higher dimensions. Keras models (typically created via the Python API) may be saved in one of several formats. js there are two ways to create a machine learning Jan 8, 2020 · TensorFlow. Train a model to balance a pole on a cart using reinforcement learning. A well-trained model will provide an accurate mapping from the input to the desired output. js and tflite models to ONNX via command line or python api. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above. Loading mobilenet Nov 1, 2022 · Step 1. h5 file. Built with Angular, the example is inspired by the Google Merchandise Store but doesn't share any data or implementation details with it. js setup. Step 2: Load the model into TensorFlow. js TensorFlow Lite TFX LIBRARIES TensorFlow. examples. TFX provides software frameworks and tooling for full tfjs-vis is a small library for in browser visualization intended for use with TensorFlow. js using npm Package Manager. visor (). Instead of using “from tensorflow. js using tfjs-node. With this app, a user will select an image, submit it to the model, and get a prediction. For example, navigate to google. Right-click on an image and select Classify image with TensorFlow. json file as its input argument. js is an open source, friendly high level interface to TensorFlow. tf2onnx converts TensorFlow (tf-1. js libraries are used in the example, look at App. Gathering, preparing, and creating a data set is beyond the scope of this tutorial. js is a new JavaScript suite with a simple API for generating music and art with Magenta models. Tensor: a set of values shaped into an array of one or more dimensions. js project on cloud platforms does not require additional configuration. js, it runs right in the browser with WebGL-acceleration. There are two main ways to get TensorFlow. Tensors are very similar to multidimensional Mar 16, 2023 · Node. In machine learning, a model is a function with learnable parameters that maps an input to an output. 0 and 1. Mar 23, 2024 · This is done to more efficiently use the relatively precious GPU memory resources on the devices by reducing memory fragmentation. Through script tag: ml5. console. At the moment no any validation / testing data is included during training. This exercise will demonstrate steps common to training many different kinds of models, but will use a small dataset and a simple (shallow) model. math. This page loads a trained Deep Q-Network (DQN) and use it to play the snake game. Jan 27, 2020 · We will modelize the environment in JavaScript, train a model which will learn the right behaviour, using Tensorflow. data. The epsilon-greedy algorithm is used to balance exploration May 17, 2021 · For example, we replaced tf. The counterpart of load_model() in TensorFlow. This is the web demo part of the dual-environment TensorFlow. Neural style transfer is an optimization technique used to take two images—a content image and a style reference image (such as an artwork by a famous painter)—and blend them together so the output image looks like the content image TensorFlow. Since it’s built on TensorFlow. js Vis, in-browser visualization for TensorFlow. js Converter, tools to import a TensorFlow SavedModel to TensorFlow. While we tested it with many tfjs models from tfhub, it should be considered experimental. js model in two different ways: In the backend environment of the main process, and/or. js was designed to provide the same features and functionalities as traditional TensorFlow, but for the JavaScript ecosystem. loadLayersModel() takes a TensorFlow. I'd like to cover convolutional neural networks as a secondary example. x), keras, tensorflow. , 1. Identifying overfitting and applying techniques to mitigate it, including data augmentation and dropout. Examples built with TensorFlow. js toxicity classifier is built on top of the Universal Sentence Encoder lite (Cer et al. As a next step, you might like to experiment with a different dataset, for example the Large-scale Celeb Faces Attributes (CelebA) dataset available on Kaggle. See train. Get started at goo. js TensorFlow Lite TFX Ecosystem LIBRARIES; TensorFlow. 2. TensorFlow Mar 6, 2024 · In the example above, the batch size is 3. list_physical_devices('GPU') if gpus: # Restrict TensorFlow to only use the first GPU. import tensorflow as tf. To learn more about using TensorFlow. In this tutorial you will train a model to make predictions from numerical data describing a set of cars. TensorFlow provides two approaches for controlling the random number generation process: Jun 23, 2018 · One of the simplest problems to solve is finding the values for a linear regression. js provides immediate access in the browser to pre-trained models for detecting human poses, generating text, styling an image with another, composing In an Electron desktop app, you can load and run a TensorFlow. js TensorFlow Lite TFX All libraries RESOURCES Models & datasets Tools Responsible AI Recommendation systems Groups Contribute TensorFlow Certificate Blog Forum About Case studies May 26, 2023 · For an additional example of transfer learning using TensorFlow. js: Reinforcement Learning. You will be using a pre-trained model for image classification called MobileNet. Working my way thru the examples project , but running into (what I think are) node-gyp related issues when running npm install and node-gyp configure. js and npm. convert_to_tensor([1,2,3]) The TensorFlow platform helps you implement best practices for data automation, model tracking, performance monitoring, and model retraining. 4, running Node. js look at the gradient operations. [ ] Feb 16, 2023 · In this tutorial, you’ll run an example web application that uses TensorFlow. A DQN is trained to estimate the value of actions given the current game state. This guide will show how to run the mnist-node example in Nov 15, 2021 · Following our recently released BlazePose GHUM 3D in TensorFlow. Nov 1, 2022 · Making predictions from 2d data. Nov 17, 2023 · This tutorial contains complete code to fine-tune BERT to perform sentiment analysis on a dataset of plain-text IMDB movie reviews. js TensorFlow Lite TFX Modelos y conjuntos de datos Herramientas Bibliotecas y extensiones Programa de certificación de TensorFlow Conocimientos sobre AA Responsible AI Unirme Apr 30, 2023 · Introduction. ml5. Automatically finding derivatives is a set of techniques known as autodiff. js models; TensorFlow. You should see a page of tiger images. Note: tensorflow. js Develop web ML applications in JavaScript See below for an example. tutorials. Train a model to learn addition by example. Configuramos un proyecto inicial que carga tensorflow. js is a JavaScript library which can be used for training and deploying ML models in Aug 30, 2023 · Model description. Jul 28, 2020 · Calculating derivatives of arbitrary functions with TensorFlow. loadLayersModel(). We can install it using npm. js, a powerful and flexible machine learning library for JavaScript. js y escribe el siguiente código. surface ({ name: 'My Surface', tab: 'My Tab' }); TensorFlow. , Random Forests, Gradient Boosted Trees) in TensorFlow. js runtime. There's a warm up period, so the first time you run the app, inference will be slower. surface (options) method Source. Nov 5, 2021 · This doc describes how to run a Node. Starting from tfjs-node@1. js support was just added. ⭐ Developer friendly. 0. js is a powerful machine learning library that allows you to run machine learning models directly in the browser or Node. 0 License . js in your project: 1. js process with @tensorflow/tfjs-node package on cloud platforms. js provides a vast ecosystem of open-source libraries and frameworks that facilitate AI development. Earlier, we mentioned that there are two ways to train a machine learning model in TensorFlow. To use this demo, use a device with a webcam. load_data() Jan 31, 2023 · Navigate to a site with images on it. Then we'll evaluate the classifier's accuracy using test data that the model has never seen. This means that, for example, when you call an operation like tf. The comments in that file explain how to configure tensor size, load the model, run pose detection, and more. ML running in the browser means that from a user Apr 28, 2023 · The Node. Load a BERT model from TensorFlow Hub. For example, x=[1,2] Jun 1, 2023 · Android example iOS example. You may also run the tests for individual exampls by cd'ing into their respective subdirectory and executing yarn, followed by yarn test and/or yarn lint. This examples lets you train a handwritten digit recognizer using either a Convolutional Neural Network (also known as a ConvNet or CNN) or a Fully Connected Neural Network (also known as a DenseNet). We go over the following steps in the model building flow: load the data, define the model, train the model, and test the model. surface ({ name: 'My Surface', tab: 'My Tab' }); Apr 29, 2021 · En la misma carpeta que el archivo HTML anterior, crea un archivo llamado script. This tutorial has shown the complete code necessary to write and train a GAN. This may be because of a missing backend declaration that @edkeveked pointed out. Keypoint — a part of a person’s pose that is estimated, such as the nose, right ear, left knee, right foot, etc. Exemples d'applications de machine learning pour Android, iOS et Raspberry Pi. . In this notebook, you will: Load the IMDB dataset. The example loads a pre-trained model and then retrains the model in the browser. The code in this example shows how to use models in both ways. If you recall from algebra, lines generally can be modeled in the x/y space with y = mx + b, m being the slope Jul 9, 2020 · For example, you can upload a picture to a web browser or catch an image through a webcam. Mar 2, 2023 · To understand how the TensorFlow. This tutorial demonstrates text classification starting from plain text files stored on disk. js, we also added metric-scale 3D keypoint prediction to hand pose detection in this release, with the origin being represented by an auxiliary keypoint, formed as a mean of first knuckles for index, middle, ring and pinky fingers. gl/magenta/js or read more about it below! Here is a simple demo we made with it that plays an endless stream of MusicVAE samples: Turn your Web Camera into a controller using a Neural Network. Aug 20, 2021 · The agent is a 3-layer MLP that takes the board state as input and outputs the predicted score for each of the 64 possible board cells. Using production-level tools to automate and track model training over the lifetime of a product, service, or business process is critical to success. The body-segmentation API provides two runtimes for the Selfie Segmentation model, namely the MediaPipe runtime and TensorFlow. Descripción general Instructivos Guía TF 1 ↗. js provides two things: The CoreAPI, which deals with the low level code; For example, x = 1; A vector is an array of numbers. See dqn. Most TensorFlow models are composed of layers. The model has been pre-trained in Python on digits 0-4 of the MNIST digits classification dataset. js TensorFlow. Given a string like 3 + 4, it will learn to output a number like 7. At the top of each tutorial, you'll see a Run in Google Colab button. These libraries range from general-purpose machine learning frameworks to specialized libraries for natural language processing (NLP), computer vision, and more. Description. Note: The random numbers are not guaranteed to be consistent across TensorFlow versions. The MNIST dataset is used as training data. g. For each example, the model returns a vector of logits or log-odds scores, one for each class. The optimal parameters are obtained by training the model on data. js using tfjs-node or tfjs-node-gpu. js, in the browser, doing computations on the GPU ! A reinforcement learning Nov 1, 2022 · In this tutorial, we'll build a TensorFlow. For Location or Fiducial-Markers Tracking, checkout AR. js TFX Airbnb improves the guest experience by using TensorFlow to classify images and detect objects at scale The Airbnb engineering and data science team applies machine learning using TensorFlow to classify images and detect objects at scale, helping to improve the guest experience. Try it using your phone, and find the source here. js model to recognize handwritten digits with a convolutional neural network. An image classification Flax model trained on the MNIST dataset. js itself. TensorFlow Core. Add the following code to an HTML file: TensorFlow. config. Input pixel values can be of any range (e. Oct 28, 2023 · TensorFlow. The "whole model" format can be converted to Jul 26, 2018 · TensorFlow. More about the Reactive Native platform adapter Nov 18, 2019 · We are excited to announce the release of BodyPix, an open-source machine learning model which allows for person and body-part segmentation in the browser with TensorFlow. Oct 5, 2023 · Method 2: Installation of TensorFlow. We have produced three examples of JAX-to-TensorFlow. Apr 17, 2020 · In this section of the tutorial, you learn how to build a deep learning machine learning model using the TensorFlow. Jan 2, 2024 · tfjs, tensorflow. An object detection model is trained to detect the presence and location of multiple classes of objects. js through npm, first, make sure you have installed Node. TensorFlow Para JavaScript Para IoT y dispositivos móviles Para producción TensorFlow (2. mnist. Example Input data type Task type Model type Training environment Jul 30, 2021 · TensorFlow. js to train a LSTM model to generate random text based on the patterns in a text corpus such as Nietzsche's writing or the source code of TensorFlow. A key benefit of using the Layers api is that the models created with it are serializable and this is what we will May 9, 2022 · Open-source library TensorFlow. You will use transfer learning to create a highly accurate model with minimal training data. js (scroll further down to learn more about Wasm and why this is important). At the end of the notebook, there is an exercise for you to try, in which you'll train a multi-class classifier to predict the tag for a programming Layers are functions with a known mathematical structure that can be reused and have trainable variables. js to perform simple reinforcement learning (RL). 20 hours ago · The TensorFlow team has made changes to the library, and the old way of importing the examples module no longer works. 0, our Wasm backend has become up to 10X faster by leveraging SIMD (vector) inst… May 7, 2024 · For an example of style transfer with TensorFlow Lite, refer to Artistic style transfer with TensorFlow Lite. datasets. Highlighted features include: ⭐ Support Image tracking and Face tracking. In TensorFlow. To learn more about pose detection using TensorFlow. 1) Versions… TensorFlow. The training is done in Node. To install the API and runtime library, you can either use the <script> tag in your html file or use NPM. May 7, 2024 · The term inference refers to the process of executing a TensorFlow Lite model on-device in order to make predictions based on input data. com para completar este codelab. js version 2. js Layers API. Creates a surface on the visor. It demonstrates the following concepts: Efficiently loading a dataset off disk. For this reason, the bindings are well suited for scripts and offline tasks. gpus = tf. See: Version Compatibility. Accéder aux tutoriels. 12) Versions… TensorFlow. The app loads and runs the model in the backend main process by Sep 2, 2020 · In March we introduced a new WebAssembly (Wasm) accelerated backend for TensorFlow. UPDATE - seems like one problem is that npm does not quite work - when I use yarn, I can get some of the examples Nov 1, 2022 · The method takes a path to the . Obviously it's not the best way to add twonumbers, but it makes a fun example. js TensorFlow Lite TFX All libraries RESOURCES Models & datasets Tools Responsible AI Recommendation systems Groups Contribute TensorFlow Certificate Blog Forum About Case studies Mar 30, 2018 · The Emoji Scavenger Hunt is another fun example of an application built using TensorFlow. TensorFlow has many more ops than ONNX and occasionally mapping a model to ONNX TensorFlow. If you’re interested in finding more about the autodiff API in TensorFlow. import tensorflow_datasets as tfds. TensorFlow (v2. mnist import input_data,” you should now use the following code: import tensorflow as tf (x_train, y_train), (x_test, y_test) = tf. js that implements operations synchronously. Sep 19, 2023 · The TensorFlow tutorials are written as Jupyter notebooks and run directly in Google Colab—a hosted notebook environment that requires no setup. For additional installation information, see the TensorFlow. This machine learning use case is called object detection. embed as embed embed. Découvrir le guide. js with native C++ bindings. But the Addition RNN example still only uses the CPU. Most methods in tfjs-vis that take a surface also take a SurfaceInfo so you rarely need to call this method unless you want to make a custom plot. keras. loadLayersModel() takes a model. js for Node. argmax, since it executes significantly faster and is adequate for the single-person setting. One such library is TensorFlow. Supported features. js also supports multiple backends within each of these environments (the actual hardware based environments it can execute within such as the CPU or WebGL for example. Jan 17, 2024 · This document describes how you can control the random number generators, and how these generators interact with other tensorflow sub-systems. TypeScript, on the other hand, is a typed yarn presubmit. js, a library for handling GPU-accelerated mathematical operations and memory management for machine learning algorithms. The example app uses the TensorFlow Lite Task library for vision via Google Play services to enable execution of the object detection machine Nov 1, 2022 · Transfer learning image classifier. ) or [0, 255]) and of integer or floating point dtype. js คือ Library สำหรับงาน Machine Learning ในภาษา JavaScript จาก Google / TensorFlow ใช้ในการสร้างโมเดลด้วย JavaScript และใช้ Machine Learning โดยตรงจากภายใน Web Browser หรือใน Node. It can be used to hide poses that are not deemed strong enough. Getting Started. To use TensorFlow. Tensorflow. The central unit of data in TensorFlow. js avec des exemples complets de bout en bout. First, install and import TFRS: pip install -q tensorflow-recommenders. vis. embed_file(anim_file) Next steps. Hi - new to tf and tf-js. js, see this blog post. Before installing TensorFlow. js Jul 26, 2018 · TensorFlow. For clarity of the example I might like to run the testing TensorFlow (v2. js is a JavaScript library used for training and deploying machine learning models in the browser. The model. In this tutorial, you will learn how to build a custom image classifier that you will train on the fly in the browser using TensorFlow. We won't be restricted to choosing only cat and dog images this time though because we won't be using fine-tuned models this time. js is tf. tf. With default settings, it estimates and renders person and body-part segmentation at 25 fps on a 2018 15-inch MacBook Pro, and 21 fps on an iPhone X. In the Chromium-based frontend environment of the renderer process. Nov 1, 2022 · TensorFlow. via <script> Tag. A "backend" in this context does not mean a server side environment - the backend for execution could be client side in WebGL for example) to ensure compatibility and TensorFlow. To perform an inference with a TensorFlow Lite model, you must run it through an interpreter. May 27, 2023 · Import TFRS. js. Instead we feed it examples of sums and let it learn from that. To ensure fast execution with TensorFlow. js est une bibliothèque pour le machine learning avec JavaScript. You will build a web application to train a model to predict the type of pitch from pitch sensor data, and to invoke This example illustrates how to use TensorFlow. js Layers format. js web server to train and classify baseball pitch types on the server-side using TensorFlow. In this web page, we load the generator part of a pre-trained GAN to generate MNIST images. Des tutoriels vous montrent comment utiliser TensorFlow. js provides functionality for saving and loading models that have been created with the Layers API or converted from existing TensorFlow models. 16. This model uses the Flatten, Dense, and Dropout layers. The yarn presubmit command executes the unit tests and lint checks of all the exapmles that contain the yarn test and/or yarn lint scripts. Backends/Platforms: Nov 1, 2022 · TensorFlow. TensorFlow Decision Forests ( TF-DF) is a library to train, run and interpret decision forest models (e. FAQ. js bindings provide a backend for TensorFlow. May 7, 2018 · Pose confidence score — this determines the overall confidence in the estimation of a pose. It ranges between 0. The example uses a pre-trained model to make predictions. tsx. Consultez des exemples complets d'entraînement, de test et de déploiement de modèles sur des appareils mobiles, avec les instructions détaillées. js lets you develop or execute ML models in JavaScript, and use ML directly in the browser client side, server side via Node. js was introduced about a couple of years ago. Mar 15, 2019 · The TensorFlow. js, mobile native via React Native, desktop native via Electron, and even on IoT devices via Node. js Data, a simple API to load and prepare data analogous to tf. The interpreter uses a static graph ordering and Sep 16, 2023 · Secondly, Node. js, all model outputs were packed into a single output tensor, so that there is only one download from GPU to CPU. You'll train a binary classifier to perform sentiment analysis on an IMDB dataset. pip install -q --upgrade tensorflow-datasets. Conozca lo último en aprendizaje automático, IA generativa y más en el Simposio WiML 2023. set_visible_devices method. A "backend" in this context does not mean a server side environment - the backend for execution could be client side in WebGL for example) to ensure compatibility and The idea is for this to be a dropdead simple example that I can use to explain tensorflow. Training Parameters All TensorFlow TensorFlow Lite TensorFlow. For example, a model might be trained with images that contain various pieces of Apr 3, 2024 · This tutorial shows how to classify images of flowers using a tf. In this Codelab, you will learn how to build a Node. Modern autodiff libraries are very efficient and are almost always hidden behind fancy APIs. The DQN is a 2D convolutional network. The primary aim is to help you get familiar with the basic Jan 31, 2022 · Body Segmentation API Installation. Convert an existing Keras model to TF. js로 빌드된 예제 및 라이브 데모를 확인하세요. Se lancer avec TensorFlow Lite. Mar 23, 2024 · Download notebook. Algorithm. See full list on github. No webcam found. js is a framework to define and run computations using tensors in JavaScript. The input should be a 3D (unbatched) or 4D (batched) tensor in the "channels_last" image data format. 0 License , and code samples are licensed under the Apache 2. image_dataset_from_directory. It takes a tensor of shape [numExamples, sampleLen, charSetSize] as the input. In addition to training a model, you will learn how to preprocess text into an appropriate format. TF-DF supports classification, regression, ranking and uplifting. After training the agent, we convert the model into TFLite and deploy it in the Android app. This example uses an RNN to compute the addition of two integers by doingstring => string translation. top_k with tf. npm install @tensorflow/tfjs. The LSTM model operates at the character level. This example trains a Recurrent Neural Network to do addition without explicitly defining the addition operator. js is the tf. Deploy ML models to web browsers. Note: this example is a port of the Keras addition RNN example with a UI. x or tf-2. js, see Use a pre-trained model. This example illustrates how to use TensorFlow. js in Node. ak rj zq ik op kj om px zc zl