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Deep learning
Backpropagation and Deep Learning in the Brain
Deep Learning Architectures for Sequence Processing
Unsupervised Speech Representation Learning Using Wavenet Autoencoders Jan Chorowski, Ron J
Machine Learning V/S Deep Learning
Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting
A Primer on Machine Learning
Deep Learning and Neural Networks Module 4
Introduction Q-Learning and Variants
Special Issue on Geometric Deep Learning in Medical Imaging
Introduction-To-Deep-Learning.Pdf
Recurrent Neural Network
A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning
Deep Learning with Long Short-Term Memory Networks for Financial Market Predictions
An Assessment of Deep Learning Models and Word Embeddings for Toxicity Detection Within Online Textual Comments
Perceptron 1 History of Artificial Neural Networks
Distributed Deep Q-Learning
Tutorial: Deep Reinforcement Learning
Deep Learning for Pedestrians: Backpropagation in Cnns
Top View
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