Sep 19, 2023 · An open source machine learning library for research and production. Complete, end-to-end examples to learn how to use TensorFlow for ML beginners and experts. Try tutorials in Google Colab - no setup required.

Learn the foundations of TensorFlow with tutorials for beginners and experts to help you create your next machine learning project. Use TensorFlow.js to create new machine learning models and deploy existing models with JavaScript. Run inference with LiteRT on mobile and embedded devices like Android, iOS, Edge TPU, and Raspberry Pi.

Apr 3, 2025 · TensorFlow is an open-source framework for machine learning (ML) and artificial intelligence (AI) that was developed by Google Brain. It was designed to facilitate the development of machine learning models, particularly deep learning models, by providing tools to easily build, train, and deploy them across different platforms.

Aug 2, 2022 · Kick-start your project with my new book Deep Learning With Python, including step-by-step tutorials and the Python source code files for all examples. Let’s get started. Update Jun/2020 : Updated for changes to the API in TensorFlow 2.2.0.

Welcome everyone to an updated deep learning with Python and Tensorflow tutorial mini-series. Since doing the first deep learning with TensorFlow course a little over 2 years ago, much has changed. It's nowhere near as complicated to get started, nor do you need to know as much to be successful with deep learning.

Aug 16, 2024 · Build a neural network machine learning model that classifies images. Train this neural network. Evaluate the accuracy of the model. This tutorial is a Google Colaboratory notebook. Python programs are run directly in the browser—a great way …

Jul 27, 2022 · TensorFlow is a Python library for fast numerical computing created and released by Google. It is a foundation library that can be used to create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow. In this post, you will discover the TensorFlow library for Deep Learning.

Jun 17, 2022 · Keras is a powerful and easy-to-use free open source Python library for developing and evaluating deep learning models. It is part of the TensorFlow library and allows you to define and train neural network models in just a few lines of code.

Feb 13, 2025 · TensorFlow is an open-source machine-learning framework developed by Google. It is written in Python, making it accessible and easy to understand. It is designed to build and train machine learning (ML) and deep learning models. It is highly scalable for both research and production. It supports CPUs, GPUs, and TPUs for faster computation.

Feb 14, 2023 · TensorFlow is a library that helps engineers build and train deep learning models. It provides all the tools we need to create neural networks. We can use TensorFlow to train simple to complex neural networks using large sets of data.