The idea behind Actor-Critics and how A2C and A3C improve them
Actor critics, A2C, A3C
Unravel Policy Gradients and REINFORCE
Explore Policy-based methods and dive into policy gradients
Q-targets, Double DQN and Dueling DQN
Fixed Q-targets, Double DQN, Dueling DQN, Prioritized Replay
Deep Q Learning and Deep Q Networks
Learn what Q Learning is and build a Deep Q Network to play games
The secrets behind Reinforcement Learning
The central idea behind reinforcement learning and an overview of its algorithms
Decrypt Generative Adversarial Networks (GAN)
What's the difference of generative and discriminative models and what is a GAN
How to Generate Images using Autoencoders
Learn what autoencoders are and build one to generate new images
Self-driving cars using Deep Learning
How self driving cars work, why Deep Learning made them a reality and how to program one (sort of)
Predict Bitcoin price with Long sort term memory Networks (LSTM)
How to use recurrent neural networks and LSTM to forecast cryptocurrencies price
Explain Neural Arithmetic Logic Units (NALU)
What is behind the NALU Deepmind paper
Deep Learning- The future or another AI buzzword
How deep learning is changing the world
Neural Network from scratch-part 2
How to buld a Convolutional neural network library using C++ and OpenCL
Neural Network from scratch-part 1
How to buld a neural network library using C++ and OpenCL
Document clustering
Use unsupervised learning to cluster documents based on their content