Browsing “Neural Networks” (Showing 101 - 120 of 566 results)

Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Over 30 recipes for implementing deep neural networks in Python

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

Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

Define, build, and evaluate machine learning models for real-world applications

2nd Edition

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

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

A practical guide to text analysis with Python, Gensim, spaCy, and Keras

Build intelligent applications with Google Cloud AI services

Proceedings of the 14th Neural Computation and Psychology Workshop