Browsing “Neural Networks” (Showing 41 - 60 of 568 results)

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

Build scalable real-world projects to implement end-to-end neural networks on Android and iOS

Build smart, AI-driven linguistic applications using deep learning and NLP techniques

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

Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

Build Android and iOS applications using TensorFlow Lite and Core ML

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

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

MRAN and Its Applications

How the Brain Processes Verbal Art

Apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more, 2nd Edition

Guide to Brain AI in Treatment Decision Planning

Acquire advanced AI, machine learning, and deep learning design skills, 2nd Edition

Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

Implement next-generation neural networks to build powerful GAN models using Python

Over 60 recipes to design, develop, and deploy self-learning AI models using Python