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Neural Networks for Machine Learning

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File Name
Size
0101 Why do we need machine learning_.mp4
15 MB
0101 Why do we need machine learning_.srt
18 kB
0102 What are neural networks_.mp4
9.8 MB
0102 What are neural networks_.srt
12 kB
0103 Some simple models of neurons.mp4
9.3 MB
0103 Some simple models of neurons.srt
11 kB
0104 A simple example of learning.mp4
6.6 MB
0104 A simple example of learning.srt
7.0 kB
0105 Three types of learning.mp4
9.0 MB
0105 Three types of learning.srt
10 kB
0201 Types of neural network architectures.mp4
8.8 MB
0201 Types of neural network architectures.srt
9.9 kB
0202 Perceptrons_ The first generation of neural networks.mp4
9.8 MB
0202 Perceptrons_ The first generation of neural networks.srt
11 kB
0203 A geometrical view of perceptrons.mp4
7.3 MB
0203 A geometrical view of perceptrons.srt
8.3 kB
0204 Why the learning works.mp4
5.9 MB
0204 Why the learning works.srt
6.4 kB
0205 What perceptrons can_t do.mp4
17 MB
0205 What perceptrons can_t do.srt
18 kB
0301 Learning the weights of a linear neuron.mp4
14 MB
0301 Learning the weights of a linear neuron.srt
15 kB
0302 The error surface for a linear neuron.mp4
5.9 MB
0302 The error surface for a linear neuron.srt
6.3 kB
0303 Learning the weights of a logistic output neuron.mp4
4.4 MB
0303 Learning the weights of a logistic output neuron.srt
4.5 kB
0304 The backpropagation algorithm.mp4
13 MB
0304 The backpropagation algorithm.srt
15 kB
0305 Using the derivatives computed by backpropagation.mp4
11 MB
0305 Using the derivatives computed by backpropagation.srt
14 kB
0401 Learning to predict the next word.mp4
14 MB
0401 Learning to predict the next word.srt
16 kB
0402 A brief diversion into cognitive science.mp4
5.3 MB
0402 A brief diversion into cognitive science.srt
5.8 kB
0403 Another diversion_ The softmax output function.mp4
8.0 MB
0403 Another diversion_ The softmax output function.srt
9.1 kB
0404 Neuro-probabilistic language models.mp4
8.9 MB
0404 Neuro-probabilistic language models.srt
11 kB
0405 Ways to deal with the large number of possible outputs.mp4
14 MB
0405 Ways to deal with the large number of possible outputs.srt
18 kB
0501 Why object recognition is difficult.mp4
5.4 MB
0501 Why object recognition is difficult.srt
6.2 kB
0502 Achieving viewpoint invariance.mp4
6.9 MB
0502 Achieving viewpoint invariance.srt
8.1 kB
0503 Convolutional nets for digit recognition.mp4
18 MB
0503 Convolutional nets for digit recognition.srt
22 kB
0504 Convolutional nets for object recognition.mp4
23 MB
0504 Convolutional nets for object recognition.srt
26 kB
0601 Overview of mini-batch gradient descent.mp4
9.6 MB
0601 Overview of mini-batch gradient descent.srt
12 kB
0602 A bag of tricks for mini-batch gradient descent.mp4
15 MB
0602 A bag of tricks for mini-batch gradient descent.srt
19 kB
0603 The momentum method.mp4
9.7 MB
0603 The momentum method.srt
11 kB
0604 Adaptive learning rates for each connection.mp4
6.6 MB
0604 Adaptive learning rates for each connection.srt
7.7 kB
0605 Rmsprop_ Divide the gradient by a running average of its recent magnitude.mp4
15 MB
0605 Rmsprop_ Divide the gradient by a running average of its recent magnitude.srt
16 kB
0701 Modeling sequences_ A brief overview.mp4
20 MB
0701 Modeling sequences_ A brief overview.srt
23 kB
0702 Training RNNs with back propagation.mp4
7.3 MB
0702 Training RNNs with back propagation.srt
8.4 kB
0703 A toy example of training an RNN.mp4
7.2 MB
0703 A toy example of training an RNN.srt
7.5 kB
0704 Why it is difficult to train an RNN.mp4
8.9 MB
0704 Why it is difficult to train an RNN.srt
9.8 kB
0705 Long-term Short-term-memory.mp4
10 MB
0705 Long-term Short-term-memory.srt
12 kB
0801 A brief overview of Hessian Free optimization.mp4
16 MB
0801 A brief overview of Hessian Free optimization.srt
18 kB
0802 Modeling character strings with multiplicative connections.mp4
17 MB
0802 Modeling character strings with multiplicative connections.srt
18 kB
0803 Learning to predict the next character using HF.mp4
14 MB
0803 Learning to predict the next character using HF.srt
16 kB
0804 Echo State Networks.mp4
11 MB
0804 Echo State Networks.srt
12 kB
0901 Overview of ways to improve generalization.mp4
14 MB
0901 Overview of ways to improve generalization.srt
16 kB
0902 Limiting the size of the weights.mp4
7.4 MB
0902 Limiting the size of the weights.srt
8.4 kB
0903 Using noise as a regularizer.mp4
8.5 MB
0903 Using noise as a regularizer.srt
8.9 kB
0904 Introduction to the full Bayesian approach.mp4
12 MB
0904 Introduction to the full Bayesian approach.srt
13 kB
0905 The Bayesian interpretation of weight decay.mp4
12 MB
0905 The Bayesian interpretation of weight decay.srt
13 kB
0906 MacKay_s quick and dirty method of setting weight costs.mp4
4.4 MB
0906 MacKay_s quick and dirty method of setting weight costs.srt
4.4 kB
1001 Why it helps to combine models.mp4
15 MB
1001 Why it helps to combine models.srt
18 kB
1002 Mixtures of Experts.mp4
15 MB
1002 Mixtures of Experts.srt
17 kB
1003 The idea of full Bayesian learning.mp4
8.4 MB
1003 The idea of full Bayesian learning.srt
10 kB
1004 Making full Bayesian learning practical.mp4
8.1 MB
1004 Making full Bayesian learning practical.srt
8.5 kB
1005 Dropout.mp4
9.7 MB
1005 Dropout.srt
12 kB
1101 Hopfield Nets.mp4
15 MB
1101 Hopfield Nets.srt
16 kB
1102 Dealing with spurious minima.mp4
13 MB
1102 Dealing with spurious minima.srt
15 kB
1103 Hopfield nets with hidden units.mp4
11 MB
1103 Hopfield nets with hidden units.srt
12 kB
1104 Using stochastic units to improv search.mp4
12 MB
1104 Using stochastic units to improv search.srt
14 kB
1105 How a Boltzmann machine models data.mp4
13 MB
1105 How a Boltzmann machine models data.srt
16 kB
1201 Boltzmann machine learning.mp4
14 MB
1201 Boltzmann machine learning.srt
16 kB
1202 OPTIONAL VIDEO_ More efficient ways to get the statistics.mp4
17 MB
1202 OPTIONAL VIDEO_ More efficient ways to get the statistics.srt
18 kB
1203 Restricted Boltzmann Machines.mp4
13 MB
1203 Restricted Boltzmann Machines.srt
14 kB
1204 An example of RBM learning.mp4
8.7 MB
1204 An example of RBM learning.srt
9.9 kB
1205 RBMs for collaborative filtering.mp4
9.5 MB
1205 RBMs for collaborative filtering.srt
11 kB
1301 The ups and downs of back propagation.mp4
12 MB
1301 The ups and downs of back propagation.srt
14 kB
1302 Belief Nets.mp4
15 MB
1302 Belief Nets.srt
17 kB
1303 Learning sigmoid belief nets.mp4
14 MB
1303 Learning sigmoid belief nets.srt
15 kB
1304 The wake-sleep algorithm.mp4
16 MB
1304 The wake-sleep algorithm.srt
17 kB
1401 Learning layers of features by stacking RBMs.mp4
20 MB
1401 Learning layers of features by stacking RBMs.srt
23 kB
1402 Discriminative learning for DBNs.mp4
11 MB
1402 Discriminative learning for DBNs.srt
13 kB
1403 What happens during discriminative fine-tuning_.mp4
10 MB
1403 What happens during discriminative fine-tuning_.srt
11 kB
1404 Modeling real-valued data with an RBM.mp4
11 MB
1404 Modeling real-valued data with an RBM.srt
12 kB
1405 OPTIONAL VIDEO_ RBMs are infinite sigmoid belief nets.mp4
19 MB
1405 OPTIONAL VIDEO_ RBMs are infinite sigmoid belief nets.srt
22 kB
1501 From PCA to autoencoders.mp4
9.7 MB
1501 From PCA to autoencoders.srt
10 kB
1502 Deep auto encoders.mp4
4.9 MB
1502 Deep auto encoders.srt
5.4 kB
1503 Deep auto encoders for document retrieval.mp4
10 MB
1503 Deep auto encoders for document retrieval.srt
10 kB
1504 Semantic Hashing.mp4
11 MB
1504 Semantic Hashing.srt
11 kB
1505 Learning binary codes for image retrieval.mp4
12 MB
1505 Learning binary codes for image retrieval.srt
13 kB
1506 Shallow autoencoders for pre-training.mp4
8.3 MB
1506 Shallow autoencoders for pre-training.srt
10 kB
1601 OPTIONAL_ Learning a joint model of images and captions.mp4
14 MB
1601 OPTIONAL_ Learning a joint model of images and captions.srt
10 kB
1602 OPTIONAL_ Hierarchical Coordinate Frames.mp4
11 MB
1602 OPTIONAL_ Hierarchical Coordinate Frames.srt
13 kB
1603 OPTIONAL_ Bayesian optimization of hyper-parameters.mp4
16 MB
1603 OPTIONAL_ Bayesian optimization of hyper-parameters.srt
18 kB
1604 OPTIONAL_ The fog of progress.mp4
2.8 MB
1604 OPTIONAL_ The fog of progress.srt
3.5 kB
Info/0304 reading_list-Learning representations by back-propagating errors.pdf
3.0 MB
Info/0404 reading_list-Neural probabilisic language models.pdf
137 kB
Info/0405 images-Lecture4-turian.png
151 kB
Info/0504 reading_list-Convolutional networks for images, speech, and time series.pdf
122 kB
Info/0504 reading_list-Gradient-based learning applied to document recognition.pdf
933 kB
Info/0705 reading_list-A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks.pdf
313 kB
Info/0803 reading_list-Generating Text with Recurrent Neural Networks.pdf
267 kB
Info/0804 Echo state network - Scholarpedia.htm
311 kB
Info/0804 Echo state network - Scholarpedia_files/1088796616-postmessagerelay.js
5.0 kB
Info/0804 Echo state network - Scholarpedia_files/400px-FreqGenTestOverlay.png
39 kB
Info/0804 Echo state network - Scholarpedia_files/500px-FreqGenSchema.png
72 kB
Info/0804 Echo state network - Scholarpedia_files/88x31.png
5.3 kB
Info/0804 Echo state network - Scholarpedia_files/badge.gif
3.6 kB
Info/0804 Echo state network - Scholarpedia_files/cb=gapi.loaded_0
98 kB
Info/0804 Echo state network - Scholarpedia_files/cb=gapi.loaded_1
50 kB
Info/0804 Echo state network - Scholarpedia_files/core-rpc-shindig.random-shindig.sha1.js
66 kB
Info/0804 Echo state network - Scholarpedia_files/facebook.png
540 B
Info/0804 Echo state network - Scholarpedia_files/fastbutton.htm
46 kB
Info/0804 Echo state network - Scholarpedia_files/ga.js
39 kB
Info/0804 Echo state network - Scholarpedia_files/gplus-16.png
492 B
Info/0804 Echo state network - Scholarpedia_files/linkedin.png
636 B
Info/0804 Echo state network - Scholarpedia_files/load(1).php
150 kB
Info/0804 Echo state network - Scholarpedia_files/load(2).php
3.3 kB
Info/0804 Echo state network - Scholarpedia_files/load(3).php
428 B
Info/0804 Echo state network - Scholarpedia_files/load(4).php
66 kB
Info/0804 Echo state network - Scholarpedia_files/load(5).php
12 kB
Info/0804 Echo state network - Scholarpedia_files/load(6).php
149 kB
Info/0804 Echo state network - Scholarpedia_files/load.php
10 kB
Info/0804 Echo state network - Scholarpedia_files/magnify-clip.png
204 B
Info/0804 Echo state network - Scholarpedia_files/MathJax.js
57 kB
Info/0804 Echo state network - Scholarpedia_files/photo.jpg
356 B
Info/0804 Echo state network - Scholarpedia_files/plusone.js
33 kB
Info/0804 Echo state network - Scholarpedia_files/postmessageRelay.htm
12 kB
Info/0804 Echo state network - Scholarpedia_files/poweredby_mediawiki_88x31.png
3.5 kB
Info/0804 Echo state network - Scholarpedia_files/search-ltr.png
595 B
Info/0804 Echo state network - Scholarpedia_files/twitter.png
42 kB
Info/1002 reading_list-Adaptive mixtures of local experts.pdf
265 kB
Info/1005 reading_list-Improving neural networks by preventing co-adaptation of feature detectors.pdf
1.6 MB
Info/1105 Boltzmann machine - Scholarpedia.htm
289 kB
Info/1105 Boltzmann machine - Scholarpedia_files/1088796616-postmessagerelay.js
5.0 kB
Info/1105 Boltzmann machine - Scholarpedia_files/88x31.png
5.3 kB
Info/1105 Boltzmann machine - Scholarpedia_files/badge.gif
3.6 kB
Info/1105 Boltzmann machine - Scholarpedia_files/cb=gapi.loaded_0
98 kB
Info/1105 Boltzmann machine - Scholarpedia_files/cb=gapi.loaded_1
50 kB
Info/1105 Boltzmann machine - Scholarpedia_files/core-rpc-shindig.random-shindig.sha1.js
66 kB
Info/1105 Boltzmann machine - Scholarpedia_files/facebook.png
540 B
Info/1105 Boltzmann machine - Scholarpedia_files/fastbutton.htm
46 kB
Info/1105 Boltzmann machine - Scholarpedia_files/ga.js
39 kB
Info/1105 Boltzmann machine - Scholarpedia_files/gplus-16.png
492 B
Info/1105 Boltzmann machine - Scholarpedia_files/linkedin.png
636 B
Info/1105 Boltzmann machine - Scholarpedia_files/load(1).php
150 kB
Info/1105 Boltzmann machine - Scholarpedia_files/load(2).php
3.3 kB
Info/1105 Boltzmann machine - Scholarpedia_files/load(3).php
428 B
Info/1105 Boltzmann machine - Scholarpedia_files/load(4).php
66 kB
Info/1105 Boltzmann machine - Scholarpedia_files/load(5).php
12 kB
Info/1105 Boltzmann machine - Scholarpedia_files/load(6).php
149 kB
Info/1105 Boltzmann machine - Scholarpedia_files/load.php
10 kB
Info/1105 Boltzmann machine - Scholarpedia_files/MathJax.js
57 kB
Info/1105 Boltzmann machine - Scholarpedia_files/photo.jpg
356 B
Info/1105 Boltzmann machine - Scholarpedia_files/plusone.js
33 kB
Info/1105 Boltzmann machine - Scholarpedia_files/postmessageRelay.htm
12 kB
Info/1105 Boltzmann machine - Scholarpedia_files/poweredby_mediawiki_88x31.png
3.5 kB
Info/1105 Boltzmann machine - Scholarpedia_files/search-ltr.png
595 B
Info/1105 Boltzmann machine - Scholarpedia_files/twitter.png
42 kB
Info/1303 reading_list-Connectionist learning of belief networks.pdf
2.3 MB
Info/1304 reading_list-- algorithm for unsupervised neural networks.pdf
255 kB
Info/1401 reading_list-A fast learning algorithm for deep belief nets.pdf
769 kB
Info/1401 reading_list-Self-taught learning- transfer learning from unlabeled data.pdf
474 kB
Info/1401 reading_list-To recognize shapes, first learn to generate images.pdf
502 kB
Info/1504 reading_list-Semantic Hashing.pdf
627 kB
Info/1505 reading_list-Using Very Deep Autoencoders for Content-Based Image Retrieval.pdf
741 kB
Slides/lecture_slides-lec1.pdf
3.9 MB
Slides/lecture_slides-lec10.pdf
827 kB
Slides/lecture_slides-lec11.pdf
694 kB
Slides/lecture_slides-lec12.pdf
1.7 MB
Slides/lecture_slides-lec13.pdf
307 kB
Slides/lecture_slides-lec14.pdf
1.1 MB
Slides/lecture_slides-lec15.pdf
2.5 MB
Slides/lecture_slides-lec16.pdf
339 kB
Slides/lecture_slides-lec2.pdf
493 kB
Slides/lecture_slides-lec3.pdf
535 kB
Slides/lecture_slides-lec4.pdf
942 kB
Slides/lecture_slides-lec5.pdf
1.6 MB
Slides/lecture_slides-lec6.pdf
534 kB
Slides/lecture_slides-lec7.pdf
953 kB
Slides/lecture_slides-lec8.pdf
643 kB
Slides/lecture_slides-lec9.pdf
702 kB