My book “Deep Learning from first principles” now on Amazon

Amazon, backpropagation, backward propagation, chain rule, deep learning, gradient check, gradient descent, gradient descent optimization, gradientcheck, kindle, learningRateDecay, logistic regression, MNIST, momentum method, neural networks, Octave, Python, R, R Language, R Markdown, R package, R project, softmax, Xavier initialization

Note: The 2nd edition of this book is now available on Amazon

My 4th book(self-published), “Deep Learning from first principles – In vectorized Python, R and Octave” (557 pages), is now available on Amazon in both paperback ($18.99) and kindle ($9.99/Rs449). The book starts with the most primitive 2-layer Neural Network and works  its way to a generic L-layer Deep Learning Network, with all the bells and whistles.  The book includes detailed derivations and vectorized implementations in Python, R and Octave.  The code has been extensively  commented and has been included in the Appendix section.

Pick up your copy today!!!

You can download the PDF version of this book from Github at https://github.com/tvganesh/DeepLearningBook-2ndEd

My other books
1. Practical Machine Learning with R and Python
2. Beaten by sheer pace – Cricket analytics with yorkr
3. Cricket analytics with cricketr

Published by Tinniam V Ganesh

Visionary, thought leader and pioneer with 27+ years of experience in the software industry.

Published