Neural networks and deep learning

Deep Learning

Deep Learning: Methods and Applications - Microsoft Research

This book is aimed to provide an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Deep Learning Tutorial by LISA lab, University of Montreal (Jan 6 2015)

GitHub - karpathy/neuraltalk: NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Neural talk is a python numpy project for learning multimodal recurrent neural networks that describe images with sentences git hub karpathy neuraltalk neural talk is a python numpy project for

An introduction to genetic algorithms

Artificial Intelligence: A Modern Approach, 4th US ed.

Deep Learning in Neural Networks: An Overview

Preface - Artificial Inteligence

Dive into Deep Learning — Dive into Deep Learning 0.17.1 documentation

Practical Deep Learning for Cloud, Mobile, and Edge

Whether you re a software engineer aspiring to enter the world of deep learning a veteran data scientist or a hobbyist with a simple dream of making the next viral ai selection from practical deep learning for cloud mobile and edge book

Math and Architectures of Deep Learning

The mathematical paradigms that underlie deep learning typically start out as hard to read academic papers often leaving engineers in the dark about how their models actually function math and architectures of deep learning i bridges the gap between theory and practice laying out the math of de

TensorFlow 2.0 in Action

This practical guide to building deep learning models with the new features of tensor flow 2 0 is filled with engaging projects simple language and coverage of the latest algorithms b br br in tensor flow 2 0 in action i you ll dig into the newest version of google s amazing tensor flow f