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Developed by Akhil Devarashetti

Deep Learning Engineer | akhil.ai

This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.

Take a tourStart your Deep Learning journey with simple problems

RegressionClassification

Start with basicsVisualize and learn Computer Vision models from basic classifiers to complex vision problems

ClassificationDetectionCaptioningGANs

Start hereLearn how models are trained to play games from basic to state-of-the-art methods

- Policy Gradients
- Deep Q
- MCTS
- AlphaZero
- MuZero

## DisCease: Evolving Social Distancing And Herd Immunity

**Abstract:**I tried to create a model that simulates the spread of a disease that does not have a medicine. I observed the effects of varying parameters, then introduced a concept of deflections which mimic social distancing and social gatherings. I finally made an attempt to evolve these deflections based on a performance metric.## A Brief Survey of Model-Free Deep Reinforcement Learning

**Abstract:**Deep Reinforcement Learning is a branch of machine learning techniques that is used to find out the best possible path given a situation. It is an interesting domain of algorithms ranging from basic multi-arm bandit problems to playing complex games like Dota 2. This paper surveys the research work on model-free approaches to deep reinforcement learning like Deep Q Learning, Policy Gradients, Actor-Critic methods and other recent advancements.

Find All Numbers

Dense Cap

MNIST GAN

Attention, Attention!

Style, Please

Style, Please V2

What Genre - Attention

Segment Highlighter

Action Assistant

Next Sentence

Dodger

AutoEncoder

Self-Organizing Feature Maps

Memorize Please

Spiking Neurons

MNIST Detection Dataset