First steps of neural network

by Tariq Rashid

First steps of neural network
Humanity Needs a Deep Learning Primer

Deep Learning Introduction to Deep Learning Although the number of beginners is increasing, studying mathematical theories is a long way to go. You can not learn deep learning to learn mathematical formulas and statistical theory. The key to penetrating deep running is neural networks, and the basis of neural networks is only the weight calculation through the matrix. Understanding the principles of operation, applications and implementations come naturally. This book shows that anyone who can perform arithmetic operations on matrix multiplication and polynomial differentiation, regardless of major, understands neural networks and can implement them in Python. Minimize mathematical formulas and explain concepts with friendly pictures and clear sentences. We can learn the weights, error back propagation, and slope descent method which are too difficult or too simple in many existing data in the public eye level.

Paperback

Published April 3, 2017