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Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python
book

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

by Santanu Pattanayak
December 2022
Intermediate to advanced
667 pages
16h 34m
English
Apress
Content preview from Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
S. PattanayakPro Deep Learning with TensorFlow 2.0https://doi.org/10.1007/978-1-4842-8931-0_2

2. Introduction to Deep-Learning Concepts and TensorFlow

Santanu Pattanayak1  
(1)
Prestige Ozone, Bangalore, Karnataka, India
 

Deep Learning and Its Evolution

Deep learning evolved from artificial neural networks, which have existed since the 1940s. Neural networks are interconnected networks of processing units called artificial neurons that loosely mimic the axons found in a biological brain. In a biological neuron, dendrites receive input signals from various neighboring neurons, typically more than 1000 of them. These modified signals are then passed on to the cell ...
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Publisher Resources

ISBN: 9781484289310Purchase LinkPublisher Website