Collection of Deep learning related papers / links / tutorials...
- Playing Atari with Deep Reinforcement Learning: Ref
- Super Smash bros using purely supervised imitation learning context: Ref
- Mario Kart with Tensor Flow: Ref Code
- SSD: Single Shot MultiBox Detector Ref 29 Dec 2016
- R-FCN: Object Detection via Region-based Fully Convolutional Networks Ref 21 Jun 2016
- You Only Look Once: Unified, Real-Time Object Detection Ref 9 May 2016
- Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Ref 2016 (inception from 2014) (Google)
- Deep Residual Learning for Image Recognition Ref 10 Dec 2015 (Microsoft)
- Identity Mappings in Deep Residual Networks Ref 25 Jul 2016 (Microsoft II)
- Deep Networks with Stochastic Depth Ref 28 Jul 2016
- Densely Connected Convolutional Networks Ref 27 Aug 2017
https://github.com/astorfi/3D-convolutional-speaker-recognition
Improving GameBoy Camera images: http://www.pinchofintelligence.com/photorealistic-neural-network-gameboy/
- https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
- http://course.fast.ai/index.html
- http://videolectures.net/deeplearning2017_montreal/
- An Overview (2017) https://arxiv.org/abs/1701.07274#
- Tensorflow
- Keras 2.0
- DeepLearning4j
- Dlib
- Torch
- Caffe
- PyTorch