Deep Learning interview questions.

Difference between Deep Networks vs Shallow Networks ?

Summary - Super Resolution

Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

5 Intresting papers from Google AI - Nov01

One Model To Learn Them All  

Summary - Densenet

Densenet-Densely Connected Convolutional Networks Paper

Different Convolutions

Pointwise Convolution or 1x1 convolution

Summary - A Dataset and Architecture for Visual Reasoning with a Working Memory

Intro to Receptive field from a Research Paper

Feed Forward Propagation from Andrew Ng Machine Learning Lecture

Neural networks are a series of stacked layers. Deeper the network, higher the number of layers. Layer 1 is called the input layer and Layer 3 is called the Output layer. The intermed...

How to use GPU on Tensorflow