Deep Learning (Goodfellow et al) Book Review

    I bought a Deep Learning textbook this week! Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville.

    I bought it after a very thorough research on the contents and previous reviews. And actually it is a good choice. This book has developed to be one of the fundamental textbooks of Deep learning and is the latest of them.   

    I am excited about the book when i started reading it. But i feel reading is very lonely, i want to say what is actually exciting. I want to help some one who wants to know what the book is about. So i thought of writing a chapter wise review of the book. I plan to release review of each chapter on Fridays starting today(31/01/2019). I will keep updating this post with the links to the review of the chapter. This is my first experience in technical book review and i am hoping to do my best.

 

Chapter No	Name	Link	Published/Scheduled Date
1	Introduction	https://viswa10.blogspot.com/2020/01/deep-learning-goodfellow-et-al-chapter.html	31/01/20
2	Linear Algebra	https://viswa10.blogspot.com/2020/02/deep-learning-goodfellow-et-al-chapter.html	16/02/20
3	Probability and Information Theory	-------------	19/02/20
4	Numerical Computation	-------------	21/02/20
5	Machine Learning Basics	-------------	28/02/20
6	Deep Feedforward Networks	-------------	06/03/20
7	Regularization for Deep Learning	-------------	13/03/20
8	Optimization for training Deep Models	-------------	20/03/20
9	Convolutional Networks	-------------	27/03/20
10	Sequence Modeling: Recurrent and Recursive Nets	-------------	03/04/20
11	Practical Methodology	-------------	10/04/20
12	Applications	-------------	17/04/20
13	Linear Factor Models	-------------	24/04/20
14	Autoencoders	-------------	01/05/20
15	Representation Learning	-------------	08/05/20
16	Structured Probabilistic Models for Deep Learning	-------------	15/05/20
17	Monte Carlo Methods	-------------	22/05/20
18	Confronting the Partition Function	-------------	29/05/20
19	Approximate Inference	-------------	05/06/20
20	Deep Generative Models	-------------	12/06/20
1-20	Whole Book Review	-------------	15/06/20