Index of /pub/educational/Coursera - Neural Networks for Machine Learning - neural_nets_hinton/
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1 - 1 - Why do we need machine learning- [13 mi..> 23-Jul-2026 12:05 15780632
1 - 2 - What are neural networks- [8 min].mp4 23-Jul-2026 12:05 10229270
1 - 3 - Some simple models of neurons [8 min].mp4 23-Jul-2026 12:05 9709814
1 - 4 - A simple example of learning [6 min].mp4 23-Jul-2026 12:05 6890872
1 - 5 - Three types of learning [8 min].mp4 23-Jul-2026 12:05 9390541
10 - 1 - Why it helps to combine models [13 min..> 23-Jul-2026 12:05 15857098
10 - 2 - Mixtures of Experts [13 min].mp4 23-Jul-2026 12:05 15708749
10 - 3 - The idea of full Bayesian learning [7 ..> 23-Jul-2026 12:05 8802557
10 - 4 - Making full Bayesian learning practica..> 23-Jul-2026 12:05 8527322
10 - 5 - Dropout [9 min].mp4 23-Jul-2026 12:05 10157806
11 - 1 - Hopfield Nets [13 min].mp4 23-Jul-2026 12:05 15358182
11 - 2 - Dealing with spurious minima [11 min].mp4 23-Jul-2026 12:05 13390603
11 - 3 - Hopfield nets with hidden units [10 mi..> 23-Jul-2026 12:05 11859058
11 - 4 - Using stochastic units to improv searc..> 23-Jul-2026 12:05 12336218
11 - 5 - How a Boltzmann machine models data [1..> 23-Jul-2026 12:05 13929576
12 - 1 - Boltzmann machine learning [12 min].mp4 23-Jul-2026 12:05 14707340
12 - 2 - OPTIONAL VIDEO- More efficient ways to..> 23-Jul-2026 12:05 17755137
12 - 3 - Restricted Boltzmann Machines [11 min]..> 23-Jul-2026 12:05 13292236
12 - 4 - An example of RBM learning [7 mins].mp4 23-Jul-2026 12:05 9128653
12 - 5 - RBMs for collaborative filtering [8 mi..> 23-Jul-2026 12:05 9995814
13 - 1 - The ups and downs of back propagation ..> 23-Jul-2026 12:05 12404385
13 - 2 - Belief Nets [13 min].mp4 23-Jul-2026 12:05 15578582
13 - 3 - Learning sigmoid belief nets [12 min].mp4 23-Jul-2026 12:05 14253082
13 - 4 - The wake-sleep algorithm [13 min].mp4 23-Jul-2026 12:05 16436894
14 - 1 - Learning layers of features by stackin..> 23-Jul-2026 12:05 21039882
14 - 2 - Discriminative learning for DBNs [9 mi..> 23-Jul-2026 12:05 11835643
14 - 3 - What happens during discriminative fin..> 23-Jul-2026 12:05 10669080
14 - 4 - Modeling real-valued data with an RBM ..> 23-Jul-2026 12:05 11743440
14 - 5 - OPTIONAL VIDEO- RBMs are infinite sigm..> 23-Jul-2026 12:05 20381634
15 - 1 - From PCA to autoencoders [5 mins].mp4 23-Jul-2026 12:05 10150620
15 - 2 - Deep auto encoders [4 mins].mp4 23-Jul-2026 12:05 5162968
15 - 3 - Deep auto encoders for document retrie..> 23-Jul-2026 12:05 10742915
15 - 4 - Semantic Hashing [9 mins].mp4 23-Jul-2026 12:05 10471702
15 - 5 - Learning binary codes for image retrie..> 23-Jul-2026 12:05 12064278
15 - 6 - Shallow autoencoders for pre-training ..> 23-Jul-2026 12:05 8654041
16 - 1 - OPTIONAL- Learning a joint model of im..> 23-Jul-2026 12:05 14500525
16 - 2 - OPTIONAL- Hierarchical Coordinate Fram..> 23-Jul-2026 12:05 11701204
16 - 3 - OPTIONAL- Bayesian optimization of hyp..> 23-Jul-2026 12:05 16565083
16 - 4 - OPTIONAL- The fog of progress [3 min].mp4 23-Jul-2026 12:05 2918237
2 - 1 - Types of neural network architectures [..> 23-Jul-2026 12:05 9204729
2 - 2 - Perceptrons- The first generation of ne..> 23-Jul-2026 12:05 9845339
2 - 3 - A geometrical view of perceptrons [6 mi..> 23-Jul-2026 12:05 7680604
2 - 4 - Why the learning works [5 min].mp4 23-Jul-2026 12:05 6183158
2 - 5 - What perceptrons can-'t do [15 min].mp4 23-Jul-2026 12:05 17379578
3 - 1 - Learning the weights of a linear neuron..> 23-Jul-2026 12:05 14175318
3 - 2 - The error surface for a linear neuron [..> 23-Jul-2026 12:05 6178046
3 - 3 - Learning the weights of a logistic outp..> 23-Jul-2026 12:05 4585546
3 - 4 - The backpropagation algorithm [12 min].mp4 23-Jul-2026 12:05 14002453
3 - 5 - Using the derivatives computed by backp..> 23-Jul-2026 12:05 11695094
4 - 1 - Learning to predict the next word [13 m..> 23-Jul-2026 12:05 14968778
4 - 2 - A brief diversion into cognitive scienc..> 23-Jul-2026 12:05 5567597
4 - 3 - Another diversion- The softmax output f..> 23-Jul-2026 12:05 8421510
4 - 4 - Neuro-probabilistic language models [8 ..> 23-Jul-2026 12:05 9367271
4 - 5 - Ways to deal with the large number of p..> 23-Jul-2026 12:05 14949365
5 - 1 - Why object recognition is difficult [5 ..> 23-Jul-2026 12:05 5632564
5 - 2 - Achieving viewpoint invariance [6 min].mp4 23-Jul-2026 12:05 7229531
5 - 3 - Convolutional nets for digit recognitio..> 23-Jul-2026 12:05 19355865
5 - 4 - Convolutional nets for object recogniti..> 23-Jul-2026 12:05 24149887
6 - 1 - Overview of mini-batch gradient descent..> 23-Jul-2026 12:05 10069225
6 - 2 - A bag of tricks for mini-batch gradient..> 23-Jul-2026 12:05 15620528
6 - 3 - The momentum method.mp4 23-Jul-2026 12:05 10214147
6 - 4 - Adaptive learning rates for each connec..> 23-Jul-2026 12:05 6950215
6 - 5 - Rmsprop- Divide the gradient by a runni..> 23-Jul-2026 12:05 15854452
7 - 1 - Modeling sequences- A brief overview.mp4 23-Jul-2026 12:05 21108426
7 - 2 - Training RNNs with back propagation.mp4 23-Jul-2026 12:05 7683390
7 - 3 - A toy example of training an RNN.mp4 23-Jul-2026 12:05 7588939
7 - 4 - Why it is difficult to train an RNN.mp4 23-Jul-2026 12:05 9318390
7 - 5 - Long-term Short-term-memory.mp4 23-Jul-2026 12:05 10727081
8 - 1 - A brief overview of Hessian Free optimi..> 23-Jul-2026 12:05 17025641
8 - 2 - Modeling character strings with multipl..> 23-Jul-2026 12:05 17363538
8 - 3 - Learning to predict the next character ..> 23-Jul-2026 12:05 14596782
8 - 4 - Echo State Networks [9 min].mp4 23-Jul-2026 12:05 11824778
9 - 1 - Overview of ways to improve generalizat..> 23-Jul-2026 12:05 14230076
9 - 2 - Limiting the size of the weights [6 min..> 23-Jul-2026 12:05 7720224
9 - 3 - Using noise as a regularizer [7 min].mp4 23-Jul-2026 12:05 8895901
9 - 4 - Introduction to the full Bayesian appro..> 23-Jul-2026 12:05 12585290
9 - 5 - The Bayesian interpretation of weight d..> 23-Jul-2026 12:05 12868006
9 - 6 - MacKay-'s quick and dirty method of set..> 23-Jul-2026 12:05 4587348