Aug 16, 2024 · Python programs are run directly in the browser—a great way to learn and use TensorFlow. To follow this tutorial, run the notebook in Google Colab by clicking the button at the top of this page. In Colab, connect to a Python runtime: At …

Mar 19, 2025 · This guide is for the latest stable version of TensorFlow. For the preview build (nightly), use the pip package named tf-nightly. Refer to these tables for older TensorFlow version requirements. For the CPU-only build, use the pip package named tensorflow-cpu. Here are the quick versions of the install commands.

The TensorFlow platform helps you implement best practices for data automation, model tracking, performance monitoring, and model retraining. Using production-level tools to automate and track model training over the lifetime of a product, service, or business process is critical to success.

Oct 3, 2024 · While you can use TensorFlow interactively like any Python library, TensorFlow also provides tools for: Performance optimization : to speed up training and inference. Export : so you can save your model when it's done training.

Sep 19, 2023 · Explore libraries to build advanced models or methods using TensorFlow, and access domain-specific application packages that extend TensorFlow. This is a sample of the tutorials available for these projects.

Apr 3, 2024 · This tutorial showed how to train a model for image classification, test it, convert it to the TensorFlow Lite format for on-device applications (such as an image classification app), and perform inference with the TensorFlow Lite model with the Python API.

Mar 24, 2023 · Install TensorFlow with Python's pip package manager. TensorFlow 2 packages require a pip version >19.0 (or >20.3 for macOS). Official packages available for Ubuntu, Windows, and macOS.

Aug 16, 2024 · The 6 lines of code below define the convolutional base using a common pattern: a stack of Conv2D and MaxPooling2D layers. As input, a CNN takes tensors of shape (image_height, image_width, color_channels), ignoring the batch size.

Mar 2, 2023 · Learn about the fundamental classes and features that make TensorFlow work. Data input pipelines The tf.data API enables you to build complex input pipelines from simple, reusable pieces.

Using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—this book helps you gain an intuitive understanding of the concepts and tools for building intelligent systems.