Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence - Softcover
Book 64 of 99: Undergraduate Topics in Computer Science
Synopsis
From Logic to Cognitive Science
Mathematical and Computational Prerequisites
Machine Learning Basics
Feed-forward Neural Networks
Modifications and Extensions to a Feed-forward Neural Network
Convolutional Neural Networks
Recurrent Neural Networks
Autoencoders
Neural Language Models
An Overview of Different Neural Network Architectures
Conclusion
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