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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
- Machine Learning and Deep Learning
- Deep Learning for NLP Part 2
- Lecture 6: Cnns and Deep Q Learning =1With Many Slides for DQN from David Silver and Ruslan Salakhutdinov and Some Vision Slide
- Deep Learning Explained What It Is, and How It Can Deliver Business Value to Your Organization
- A Survey on Deep Reinforcement Learning for Audio-Based Applications
- Short-Term Load Forecasting Using Encoder-Decoder Wavenet: Application to the French Grid
- Introduction of Perceptron in Python
- Generative Deep Learning Architecture for Vehicular Traffic Flow Prediction
- The Societal Implications of Deep Reinforcement Learning
- Deep Reinforcement Learning: Q-Learning Garima Lalwani Karan Ganju Unnat Jain Today’S Takeaways
- An Executive's Guide to AI
- Deep Learning: an Artificial Intelligence Revolution
- CS 224D: Deep Learning for NLP 1 Course Instructor: Richard Socher 2 Lecture Notes: Part II 2 Author: Rohit Mundra, Richard Socher Spring 2015
- Autoencoders
- A First Course in Machine Learning
- Autoencoders, Unsupervised Learning, and Deep Architectures
- Closed-Loop Deep Learning: Generating Forward Models with Backpropagation
- Graph Wavenet for Deep Spatial-Temporal Graph Modeling
- A Theoretical Analysis of Deep Q-Learning
- Deep Learning in Neural Networks: an Overview
- Part 1: Nonlinear Classifiers and the Backpropagation Algorithm
- Deep Learning Checklist for Cyber Security
- Lecture 9: Recurrent Neural Networks Deep Learning @ Uva
- Deep Learning Yann Lecun1,2, Yoshua Bengio3 & Geoffrey Hinton4,5
- Word Embedding and Text Classification Based on Deep Learning Methods
- Sequence Embeddings Using LSTM Networks
- Deep Recurrent Networks
- Week 2: Linear Classification: Perceptron
- Improving the Accuracy of Pre-Trained Word Embeddings for Sentiment Analysis
- Deep Learning: a Primer for Psychologists*
- Empirical Evaluation of Deep Learning Model Compression Techniques on the Wavenet Vocoder
- Deep Learning for Speech Enhancement a Study on Wavenet, Gans and General CNN- RNN Architectures
- Deep Learning
- Shallow Updates for Deep Reinforcement Learning
- An Introduction to Neural Networks Long Short Term Memory (LSTM) and the Attention Mechanism
- Can the Brain Do Backpropagation? — Exact Implementation of Backpropagation in Predictive Coding Networks
- Deep Reinforcement Learning for the Control of Robotic Manipulation: a Focussed Mini-Review
- Random Backpropagation and the Deep Learning Channel
- The Components of a Deep Learning System and What All These F*Cking Nerdy Buzzwords Actually Mean
- Performance Comparison of Deep Learning Autoencoders for Cancer Subtype Detection Using Multi-Omics Data
- Deep Learning Basics Lecture 4: Regularization II
- Lecture 4 Backpropagation CMSC 35246: Deep Learning
- A Gentle Introduction to Deep Learning for Natural Language Processing
- On Speaker Adaptation of Long Short-Term Memory Recurrent Neural Networks
- A Tutorial on Deep Learning Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks
- The Computational Limits of Deep Learning Arxiv:2007.05558V1 [Cs.LG] 10 Jul 2020
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
- Parallel Wavenet: Fast High-Fidelity Speech Synthesis
- Deep Learning Notes
- Subtractive Perceptrons for Learning Images: a Preliminary Report
- Application of Long-Short-Term-Memory Recurrent Neural Networks to Forecast Wind Speed
- Playing Atari with Deep Reinforcement Learning
- Deep Reinforcement Learning: Policy Gradients and Q-Learning
- Multi-Layered Deep Learning Perceptron Approach for Health Risk Prediction
- Deep Learning Basics Lecture 9: Recurrent Neural Networks Princeton University COS 495 Instructor: Yingyu Liang Introduction Recurrent Neural Networks
- C1W1L01 Welcome
- Neural Network Models and Deep Learning – a Primer for Biologists
- Course Syllabus Artificial Neural Networks and Deep Learning
- Deep Learning Vs. Traditional Computer Vision
- Learning About Word Vector Representations and Deep Learning Through Implementing Word2vec
- Introduction to Deep Learning: Part 1
- Deep Learning
- From Classical Machine Learning to Deep Neural Networks: a Simplified Scientometric Review
- How Artificial Intelligence, Machine Learning and Deep Learning Are Radically Different? Tanya Tiwari Tanuj Tiwari Sanjay Tiwari Samsung India Electronics Pvt
- An Autoencoder-Based Deep Learning Classifier for Efficient
- Deep Learning Made Easier by Linear Transformations in Perceptrons
- Word Embeddings and Its Application in Deep Learning
- Learning Graph Representations with Recurrent Neural Network Autoencoders
- Deep Learning with Long Short-Term Memory Networks for Financial Market Predictions
- Deep Learning with Long Short-Term Memory for Time Series Prediction