Deep learning
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- Lecture 3 Feedforward Networks and Backpropagation CMSC 35246: Deep Learning
- Deep Q-Learning from Demonstrations
- Machine Learning I Lecture 18 Multi-Layer Perceptron
- Long Short-Term Memory Recurrent Neural Network Architectures for Generating Music and Japanese Lyrics
- A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage, Anil Anthony Bharath
- Multimodal Autoencoder: a Deep Learning Approach to Filling in Missing Sensor Data and Enabling Better Mood Prediction
- Deep Reinforcement Learning and Its Neuroscientific Implications
- CARRNN: a Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data
- Deep Convolutional Neural Networks for Long Time Series Classification
- CS 4803 / 7643: Deep Learning Guest Lecture: Embeddings and World2vec
- Machine Learning Basics Lecture 3: Perceptron Princeton University COS 495 Instructor: Yingyu Liang Perceptron Overview
- Revisit Long Short-Term Memory: an Optimization Perspective
- 14.1 Autoencoders
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
- Long Short-Term Memory Akshay Sood Introduction
- Machine Learning for Dummies®, IBM Limited Edition
- Text-To-Speech Synthesis System Based on Wavenet
- Deep Reinforcement Learning