General

Well Explained articles on common DL concepts

Lesson 1 summary

Guide to Pytorch

Gradient Decent with restarts

Transfer Learning/Differential LR

How do we train neural nets, beginners guide

Optimization for DL Hightlights 2017 Sum.

Loss Functions and Optimization Algorithms

Learning Rates

Visualing learning rate and batch size

Learning rates

Optimal learning Rate

Computer Vision

Image recogntion

ResNet

Convolutions

Convolution arithmetic tutorial

Structured Data

Structured Deep Learning

Courses


CS231n Standford Course on Deep Learning (free)

Andrew NG Machine Learning Course (free) & Lectures

Fast.ai Machine Learning Course

Papers


Collection of Papers on Computer Vision

Awesome Collection of DL Papers

Books


Deep Learning

Deep Learning with Python (PDF)

Max Pooling, Dropout and Relu explained

Cool Talks


Jeremy Howard Ted Talk

Joesph Redmond, creator of YOLO

Fei Fei Li, Standford CS231n course co-ordinator

Andrew Ng - The State of Artificial Intelligence