Browsing “Neural Networks” (Showing 141 - 160 of 571 results)

Develop real-world applications powered by the latest AI advances

Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Over 30 recipes for implementing deep neural networks in Python

Implement advanced deep learning and neural network models using TensorFlow and Keras

Build intelligent apps using machine learning and deep learning with Deeplearning4j

A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition

Hands-on techniques for building supervised and unsupervised machine learning workflows

Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go

Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Implement machine learning algorithms and techniques to build intelligent systems, 2nd Edition

Build 13 real-world projects with advanced numerical computations using the Python ecosystem

Your hands-on guide to the fundamentals of deep learning and neural network modeling

Over 60 recipes to build intelligent machine learning systems with the power of Python, 2nd Edition

Implement probabilistic models for learning complex data sequences using the Python ecosystem

Artificial Intelligence for iOS

Build Android and iOS applications using TensorFlow Lite and Core ML