Neural Network for Machine Learning/videos/043_The Bayesian interpretation of weight decay [11 min].srt
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Neural Network for Machine Learning/videos/060_The ups and downs of back propagation [10 min].srt
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Neural Network for Machine Learning/videos/051_Dealing with spurious minima [11 min].srt
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Neural Network for Machine Learning/videos/011_Learning the weights of a linear neuron [12 min].srt
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Neural Network for Machine Learning/videos/029_Rmsprop - Divide the gradient by a running average of its recent magnitude.srt
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Neural Network for Machine Learning/videos/037_Learning to predict the next character using HF [12 mins].srt
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Neural Network for Machine Learning/videos/039_Overview of ways to improve generalization [12 min].srt
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Neural Network for Machine Learning/videos/054_How a Boltzmann machine models data [12 min].srt
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Neural Network for Machine Learning/videos/016_Learning to predict the next word [13 min].srt
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Neural Network for Machine Learning/videos/046_Mixtures of Experts [13 min].srt
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Neural Network for Machine Learning/videos/061_Belief Nets [13 min].srt
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Neural Network for Machine Learning/videos/036_Modeling character strings with multiplicative connections [14 mins].srt
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Neural Network for Machine Learning/videos/045_Why it helps to combine models [13 min].srt
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Neural Network for Machine Learning/videos/077_OPTIONAL - Bayesian optimization of hyper-parameters [13 min].srt
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Neural Network for Machine Learning/videos/035_A brief overview of Hessian Free optimization.srt
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Neural Network for Machine Learning/videos/020_Ways to deal with the large number of possible outputs [15 min].srt
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Neural Network for Machine Learning/videos/056_OPTIONAL VIDEO - More efficient ways to get the statistics [15 mins].srt
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Neural Network for Machine Learning/videos/001_Why do we need machine learning - [13 min].srt
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Neural Network for Machine Learning/videos/010_What perceptrons can't do [15 min].srt
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Neural Network for Machine Learning/videos/026_A bag of tricks for mini-batch gradient descent.srt
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Neural Network for Machine Learning/videos/068_OPTIONAL VIDEO - RBMs are infinite sigmoid belief nets [17 mins].srt
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Neural Network for Machine Learning/videos/023_Convolutional nets for digit recognition [16 min].srt
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Neural Network for Machine Learning/videos/064_Learning layers of features by stacking RBMs [17 min].srt
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Neural Network for Machine Learning/videos/030_Modeling sequences - A brief overview.srt
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Neural Network for Machine Learning/videos/024_Convolutional nets for object recognition [17min].srt
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Neural Network for Machine Learning/readlists/024_Convolutional Networks for Images, Speech and Time-Series.pdf
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Neural Network for Machine Learning/readlists/019_A Neuro Probabilistic Language Model.pdf
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Neural Network for Machine Learning/readlists/063_The wake-sleep algorithm for unsupervised neural networks.pdf
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Neural Network for Machine Learning/readlists/046_Adaptive Mixtures of Local Experts.pdf
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Neural Network for Machine Learning/readlists/037_Generating Text with Recurrent Neural Networks.pdf
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Neural Network for Machine Learning/readlists/054_Boltzmann machine - Scholarpedia.maff
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Neural Network for Machine Learning/PDFs/060_lecture_slides_lec13.pdf
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Neural Network for Machine Learning/readlists/034_A Novel Approach to On-Line Handwriting Recognition Based on Bidirectional Long Short-Term Memory Networks.pdf
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Neural Network for Machine Learning/readlists/038_Echo state network - Scholarpedia.maff
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Neural Network for Machine Learning/readlists/064_To Recognize Shapes, First Learn to Generate Images.pdf
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Neural Network for Machine Learning/readlists/073_Using Very Deep Autoencoders for Content-Based Image Retrieval.pdf
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Neural Network for Machine Learning/readlists/064_A Fast Learning Algorithm for Deep Belief Nets.pdf
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Neural Network for Machine Learning/PDFs/045_lecture_slides_lec10.pdf
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Neural Network for Machine Learning/readlists/024_Gradient-Based Learning Applied to Document Recognition.pdf
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Neural Network for Machine Learning/readlists/049_Improving neural networks by preventing co-adaptation of feature detectiors.pdf
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Neural Network for Machine Learning/PDFs/055_lecture_slides_lec12.pdf
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Neural Network for Machine Learning/readlists/062_Connectionist Learning of Belief Networks.pdf
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Neural Network for Machine Learning/PDFs/069_lecture_slides_lec15.pdf
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Neural Network for Machine Learning/videos/078_OPTIONAL - The fog of progress [3 min].mp4
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Neural Network for Machine Learning/readlists/014_Learning Interneal Representaions by Error Propagation.pdf
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Neural Network for Machine Learning/PDFs/001_lecture_slides_lec1.pdf
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Neural Network for Machine Learning/videos/013_Learning the weights of a logistic output neuron [4 min].mp4
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Neural Network for Machine Learning/videos/044_MacKay's quick and dirty method of setting weight costs [4 min].mp4
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Neural Network for Machine Learning/videos/070_Deep auto encoders [4 mins].mp4
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Neural Network for Machine Learning/videos/017_A brief diversion into cognitive science [4 min].mp4
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Neural Network for Machine Learning/videos/021_Why object recognition is difficult [5 min].mp4
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Neural Network for Machine Learning/videos/012_The error surface for a linear neuron [5 min].mp4
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Neural Network for Machine Learning/videos/009_Why the learning works [5 min].mp4
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Neural Network for Machine Learning/videos/004_A simple example of learning [6 min].mp4
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Neural Network for Machine Learning/videos/028_Adaptive learning rates for each connection.mp4
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Neural Network for Machine Learning/videos/022_Achieving viewpoint invariance [6 min].mp4
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Neural Network for Machine Learning/videos/032_A toy example of training an RNN.mp4
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Neural Network for Machine Learning/videos/008_A geometrical view of perceptrons [6 min].mp4
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Neural Network for Machine Learning/videos/031_Training RNNs with back propagation.mp4
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Neural Network for Machine Learning/videos/040_Limiting the size of the weights [6 min].mp4
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Neural Network for Machine Learning/videos/018_Another diversion - The softmax output function [7 min].mp4
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Neural Network for Machine Learning/videos/048_Making full Bayesian learning practical [7 min].mp4
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Neural Network for Machine Learning/videos/074_Shallow autoencoders for pre-training [7 mins].mp4
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Neural Network for Machine Learning/videos/047_The idea of full Bayesian learning [7 min].mp4
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Neural Network for Machine Learning/videos/041_Using noise as a regularizer [7 min].mp4
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Neural Network for Machine Learning/videos/058_An example of RBM learning [7 mins].mp4
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Neural Network for Machine Learning/videos/006_Types of neural network architectures [7 min].mp4
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Neural Network for Machine Learning/videos/033_Why it is difficult to train an RNN.mp4
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Neural Network for Machine Learning/videos/019_Neuro-probabilistic language models [8 min].mp4
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Neural Network for Machine Learning/videos/005_Three types of learning [8 min].mp4
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Neural Network for Machine Learning/videos/003_Some simple models of neurons [8 min].mp4
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Neural Network for Machine Learning/videos/007_Perceptrons - The first generation of neural networks [8 min].mp4
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Neural Network for Machine Learning/videos/059_RBMs for collaborative filtering [8 mins].mp4
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Neural Network for Machine Learning/videos/025_Overview of mini-batch gradient descent.mp4
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Neural Network for Machine Learning/videos/069_From PCA to autoencoders [5 mins].mp4
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Neural Network for Machine Learning/videos/049_Dropout [9 min].mp4
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Neural Network for Machine Learning/videos/027_The momentum method.mp4
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Neural Network for Machine Learning/videos/002_What are neural networks - [8 min].mp4
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Neural Network for Machine Learning/videos/072_Semantic Hashing [9 mins].mp4
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Neural Network for Machine Learning/videos/066_What happens during discriminative fine-tuning - [8 mins].mp4
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Neural Network for Machine Learning/videos/034_Long-term Short-term-memory.mp4
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Neural Network for Machine Learning/videos/071_Deep auto encoders for document retrieval [8 mins].mp4
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Neural Network for Machine Learning/videos/015_Using the derivatives computed by backpropagation [10 min].mp4