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An open source machine learning library for research and production.
Read more at TensorFlow TutorialsLearn basic and advanced concepts of TensorFlow such as eager execution, Keras high-level APIs and flexible model building.
Read more at TensorFlow TutorialsTF-NumPy Type Promotion
There are 4 options for type promotion in TensorFlow. By default, TensorFlow raises errors instead of promoting types for mixed type operations. Running tf.numpy.experimental_enable_numpy_behavior() s...
Read more at TensorFlow GuideCustomizing Saving and Serialization
A more advanced guide on customizing saving for your layers and models.
Read more at TensorFlow GuideKeras: The high-level API for TensorFlow
Introduction to Keras, the high-level API for TensorFlow.
Read more at TensorFlow GuideThe Functional API
Complete guide to the functional API.
Read more at TensorFlow GuideTraining & evaluation with the built-in methods
Complete guide to training & evaluation with `fit()` and `evaluate()`.
Read more at TensorFlow GuideSerialization and saving
Complete guide to saving & serializing models.
Read more at TensorFlow GuideMaking new layers and models via subclassing
Complete guide to writing `Layer` and `Model` objects from scratch.
Read more at TensorFlow GuideUnderstanding masking & padding
Complete guide to using mask-aware sequence layers in Keras.
Read more at TensorFlow GuideWorking with RNNs
Complete guide to using & customizing RNN layers.
Read more at TensorFlow GuideWriting your own callbacks
Complete guide to writing new Keras callbacks.
Read more at TensorFlow GuideMulti-GPU and distributed training
Guide to multi-GPU & distributed training for Keras models.
Read more at TensorFlow GuideImport a JAX model using JAX2TF
Visualization utilities Toggle code Download and prepare the MNIST dataset Configure training This notebook will create and train a simple model for demonstration purposes. Create the model using Flax...
Read more at TensorFlow GuideInstance Segmentation with Model Garden
Import required libraries Download subset of lvis dataset LVIS : A dataset for large vocabulary instance segmentation. Note: LVIS uses the COCO 2017 train, validation, and test image sets. If you have...
Read more at TensorFlow GuideSemantic Segmentation with Model Garden
Import required libraries Custom dataset preparation for semantic segmentation Models in Official repository (of model-garden) require models in a TFRecords dataformat. Please check this resource to l...
Read more at TensorFlow GuideObject detection with Model Garden
Import required libraries Import required libraries from tensorflow models Custom dataset preparation for object detection Models in official repository(of model-garden) requires data in a TFRecords f...
Read more at TensorFlow GuideIntroduction to the TensorFlow Models NLP library
In this Colab notebook, you will learn how to build transformer-based models for common NLP tasks including pretraining, span labelling and classification using the building blocks from NLP modeling l...
Read more at TensorFlow GuideDistributed training with Core APIs and DTensor
This notebook uses the TensorFlow Core low-level APIs and DTensor to demonstrate a data parallel distributed training example. Visit the Core APIs overview to learn more about TensorFlow Core and its ...
Read more at TensorFlow GuideOptimizers with Core APIs
This notebook introduces the process of creating custom optimizers with the TensorFlow Core low-level APIs . Visit the Core APIs overview to learn more about TensorFlow Core and its intended use cases...
Read more at TensorFlow GuideLogistic regression for binary classification with Core APIs
This tutorial uses pandas for reading a CSV file into a DataFrame , seaborn for plotting a pairwise relationship in a dataset, Scikit-learn for computing a confusion matrix, and matplotlib for creatin...
Read more at TensorFlow GuideTensorFlow Core APIs overview
The TensorFlow Core low-level APIs are designed with the following ML Developers in mind: Researchers building complex models with high levels of configurability Developers interested in using TensorF...
Read more at TensorFlow GuideQuickstart for the TensorFlow Core APIs
Import TensorFlow and other necessary libraries to get started: Load and preprocess the dataset Next, you need to load and preprocess the Auto MPG dataset from the UCI Machine Learning Repository . Th...
Read more at TensorFlow GuideMultilayer perceptrons for digit recognition with Core APIs
The Multilayer Perceptron (MLP) is a type of feedforward neural network used to approach multiclass classification problems. Before building an MLP, it is crucial to understand the concepts of percept...
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