Useful stuff you should definetely read about ML
- NN Basics on steoroids
- NN Basics
- CNN Basics
- RNN basics
- RL course by David Silver (google)
- GAN Basics on steroids
- GAN Basics
- Probabilistic Modelling with bayesians
- From scratch to a bit of everything
- CNN with lasagne and theano
- Visualizing CNN
- Face detection with cascade CNN
- Face alignment
- Viola jones
- Viola jones analysis
- Low resolution images restoration with DNN
- SubPixel low resolution images restoration with CNN
- Compressing CNNs for reducing hyperparameters (good for mobile)
- CNN deeper architecture
- Scalable object detection in CNN
- Face detection with compact CNN cascades
- Deep RL Pong game
- Sutton RL book
- Simple Q Learning tensorflow
- Berkley RL course
- Recommendations for DNN with gradient based training
- Neural Turing Machines
- RL + Neural Turing Machines
- Policy Optimization
- GANs hypothesis
- GANs demonstration
- Why GANs are the future
- GAN with continual learning
- GAN with continual learning pt2
- GAN image manipulation
- Generative models
- Image completion with GAN
- GAN text to image
- GAN image to image
- Low resolution images restoration with GAN
- Wasserstein GAN
- Mode collapse in GAN
- Training GAN
- Unrolled GAN
- Regularized GAN