Machine learning education - TensorFlow
Learn the basics of machine learning and deep learning with TensorFlow, a popular open-source library for creating and deploying ML models. Explore books, courses, videos, and exercises to master your coding, math, ML theory, and project skills.
Basics of machine learning - TensorFlow
This introductory book provides a code-first approach to learn how to implement the most common ML scenarios, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes.
TensorFlow 2 quickstart for beginners | TensorFlow Core
Aug 16, 2024 · Learn how to use TensorFlow 2 with Keras to build and train a neural network model for image classification. Follow the steps in this tutorial to set up TensorFlow, load a dataset, and run the code in Google Colab.
Convolutional Neural Network (CNN) | TensorFlow Core
Aug 16, 2024 · Learn how to train a simple CNN to classify CIFAR10 images using the Keras Sequential API. The tutorial covers data preparation, model definition, compilation, and evaluation with code and plots.
Theoretical and Advanced Machine Learning - TensorFlow
Learn how to improve your understanding of ML and begin implementing papers with TensorFlow. This guide covers math concepts, deep learning courses, books, and tutorials for more advanced topics.
Tutorials | TensorFlow Core
Sep 19, 2023 · TensorFlow is a library for building and training machine learning models. These tutorials show how to use Keras, a high-level API for TensorFlow, to perform basic and advanced tasks with data, models, and visualization.
MIT Deep Learning Basics: Introduction and Overview with …
Feb 4, 2019 · Learn the basics of deep learning with TensorFlow tutorials for 7 architectural paradigms, such as CNNs, RNNs, and autoencoders. Explore how to use neural networks to solve problems in computer vision, natural language processing, games, and more.
TensorFlow.js | Machine Learning for JavaScript Developers
Learn how to use TensorFlow.js, a library for machine learning in JavaScript, to build and run models in the browser or Node.js. See tutorials, models, demos, and community resources for TensorFlow.js.
Quantum machine learning concepts - TensorFlow
Apr 26, 2024 · Learn how quantum data and hybrid quantum-classical models can be used for quantum machine learning (QML) applications. Explore examples of quantum data sources, quantum algorithms, and QML research areas with TensorFlow Quantum.
Basic text classification | TensorFlow Core
Aug 31, 2024 · When running a machine learning experiment, it is a best practice to divide your dataset into three splits: train, validation, and test. The IMDB dataset has already been divided into train and test, but it lacks a validation set.