Browsing “Neural Networks” (Showing 101 - 120 of 580 results)

2nd Edition

Theory and Applications

Explore the networks around us using network science, social network analysis, and machine learning

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

Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6

Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

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

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

Build Android and iOS applications using TensorFlow Lite and Core ML

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

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

Theory, Algorithms and Applications

Build, improve, and optimize time series forecasting models using the advanced forecasting tool

Design and create neural networks using deep learning and artificial intelligence principles

Management and Analysis