Libros
- Deep Learning by Ian Goodfellow, Aaron Courille and Yoshua Bengio [Página]
- Neural Networks and Deep Learning by Michael Nielsen [Página]
- Deep Learning with Python by Francois Chollet [Página]
Artículos
- Alex Krizhevsky, Ilya Sutskever and Geoffrey E. Hinton. ImageNet Classification with Deep Convolutional
Neural Networks [pdf]
- Matthew D. Zeiler and Rob Fergus. Visualizing and Understanding Convolutional Networks [pdf]
- Karen Simonyan and Andrew Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition [pdf]
- Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke and Andrew Rabinovich. Going Deeper with Convolutions [pdf]
- Ali Sharif Razavian Hossein Azizpour Josephine Sullivan and Stefan Carlsson. CNN Features off-the-shelf: an Astounding Baseline for Recognition [pdf]
- Chris Olah, Alexander Mordvintsev and Ludwig Schubert. Feature Visualization [Online]
- Sergey Ioffe and Christian Szegedy. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift [pdf]
- Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov. Dropout: A Simple Way to Prevent Neural Networks from Overfitting [pdf]
- Diederik P. Kingma and Jimmy Lei Ba. ADAM: A Method for Stochastic Optimization [pdf]
- Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun. Deep Residual Networks for Image Recognition [pdf]
- Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville and Yoshua Bengio. Generative Adversarial Nets [pdf]
Software
Bases de datos
Pláticas
- Deep Learning, Self-Taught Learning and Unsupervised Feature Learning by Andrew Ng [video]
- Nuts and Bolts of Applying Deep Learning by Andrew Ng [video]
- Deep Learning for Vision by Adam Coates [videos]
- Deep Learning for NLP Part 1 by Christopher D. Manning [video]
- Deep Learning for NLP Part 2 by Christopher D. Manning [video]
- Tutorial on Learning Deep Architectures by Yoshua Bengio and Yann LeCun [videos]
- Deep Learning by Ruslan Salakhutdinov [videos]
- Visual Perception with Deep Learning by Yann LeCun [video]
- IPAM 2012 Summer school: Deep and Feature Learning [videos]
- Recent Advances in Deep Learning by Geoffrey Hinton [video]
Otros cursos
- Deep Learning Specialization by Andrew Ng [Página]
- Neural Networks for Machine Learning by Geoffrey Hinton [Página]
- Neural Networks by Hugo Larochelle [Página]
- Deep Learning by Yann LeCun [Página]
- Deep Learning for Natural Language Processing by Richard Socher [Página]
- Convolutional Neural Networks for Visual Recognition by Li Fei-Fei [Página]
- Tensorflow for Deep Learning Research by Chip Huyen [Página]
Congresos y revistas
- International Conference on Learning Representations (ICLR) [Página]
- Neural Information Processing Systems (NIPS) [Página]
- International Conference on Machine Learning (ICML) [Página]
- Uncertainty in Artificial Intelligence (UAI) [Página]
- arXiv.org cs.LG [Página]
- arXiv.org stat.ML [Página]
