Browsing “Neural Networks” (Showing 121 - 140 of 618 results)

Design and develop your computer vision model with 3D data using PyTorch3D and more

Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

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

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

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

Management and Analysis

Build intelligent applications with Google Cloud AI services

Learn to train and deploy neural network models in Python

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

Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch

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

Artificial Intelligence for iOS

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

Theory, Algorithms and Applications

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

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