| Neural networks [1.1] - Feedforward neural network - artificial neuron-SGZ6BttHMPw.mp4 |
58.87MB |
| Neural networks [1.2] - Feedforward neural network - activation function-tCHIkgWZLOQ.mp4 |
43.92MB |
| Neural networks [1.3] - Feedforward neural network - capacity of single neuron-iT5P4z6Fzj8.mp4 |
23.71MB |
| Neural networks [1.4] - Feedforward neural network - multilayer neural network-apPiZd-qnZ8.mp4 |
48.13MB |
| Neural networks [1.5] - Feedforward neural network - capacity of neural network-O4I7dQC4VtU.mp4 |
28.19MB |
| Neural networks [1.6] - Feedforward neural network - biological inspiration-cuJ4IC5_pGs.mp4 |
116.10MB |
| Neural networks [2.1] - Training neural networks - empirical risk minimization-5adNQvSlF50.mp4 |
68.82MB |
| Neural networks [2.2] - Training neural networks - loss function-PpFTODTztsU.mp4 |
29.90MB |
| Neural networks [2.3] - Training neural networks - output layer gradient-1N837i4s1T8.mp4 |
46.51MB |
| Neural networks [2.4] - Training neural networks - hidden layer gradient-xFhM_Kwqw48.mp4 |
104.17MB |
| Neural networks [2.5] - Training neural networks - activation function derivative-tf9p1xQbWNM.mp4 |
24.51MB |
| Neural networks [2.6] - Training neural networks - parameter gradient-p5tL2JqCRDo.mp4 |
32.73MB |
| Neural networks [2.7] - Training neural networks - backpropagation-_KoWTD8T45Q.mp4 |
96.36MB |
| Neural networks [2.8] - Training neural networks - regularization-JfkbyODyujw.mp4 |
82.17MB |
| Neural networks [2.9] - Training neural networks - parameter initialization-sLfogkzFNfc.mp4 |
50.95MB |
| Neural networks [2.10] - Training neural networks - model selection-Fs-raHUnF2M.mp4 |
69.13MB |
| Neural networks [2.11] - Training neural networks - optimization-Bver7Ttgb9M.mp4 |
125.69MB |
| Neural networks [3.1] - Conditional random fields - motivation-GF3iSJkgPbA.mp4 |
28.44MB |
| Neural networks [3.2] - Conditional random fields - linear chain CRF-PGBlyKtfB74.mp4 |
62.18MB |
| Neural networks [3.3] - Conditional random fields - context window-G4lnHc2M1CA.mp4 |
77.40MB |
| Neural networks [3.4] - Conditional random fields - computing the partition function-fGdXkVv1qNQ.mp4 |
142.98MB |
| Neural networks [3.5] - Conditional random fields - computing marginals-hjkwp-eDwt8.mp4 |
58.01MB |
| Neural networks [3.6] - Conditional random fields - performing classification-pQJvX9U-MyE.mp4 |
102.82MB |
| Neural networks [3.7] - Conditional random fields - factors, sufficient statistics and linear CRF-uXV2an9TdJY.mp4 |
73.27MB |
| Neural networks [3.8] - Conditional random fields - Markov network-ZYUnyyVgtyA.mp4 |
71.66MB |
| Neural networks [3.9] - Conditional random fields - factor graph-Q5GTCHVsHXY.mp4 |
42.89MB |
| Neural networks [3.10] - Conditional random fields - belief propagation--z5lKPHcumo.mp4 |
209.38MB |
| Neural networks [4.1] - Training CRFs - loss function-6dpGB60Q1Ts.mp4 |
35.50MB |
| Neural networks [4.2] - Training CRFs - unary log-factor gradient-fU2W7KRoS2U.mp4 |
75.03MB |
| Neural networks [4.3] - Training CRFs - pairwise log-factor gradient-1W2lkcGV2Zo.mp4 |
49.58MB |
| Neural networks [4.4] - Training CRFs - discriminative vs. generative learning-MD4mY3Zj5E4.mp4 |
56.66MB |
| Neural networks [4.5] - Training CRFs - maximum-entropy Markov model-aMi2xnYEwbc.mp4 |
74.48MB |
| Neural networks [4.6] - Training CRFs - hidden Markov model-jdlJfM707MM.mp4 |
36.46MB |
| Neural networks [4.7] - Training CRFs - general conditional random field-QY9k7tJistU.mp4 |
55.03MB |
| Neural networks [4.8] - Training CRFs - pseudolikelihood-ltRT1m7vaBU.mp4 |
43.70MB |
| Neural networks [5.1] - Restricted Boltzmann machine - definition-p4Vh_zMw-HQ.mp4 |
101.69MB |
| Neural networks [5.2] - Restricted Boltzmann machine - inference-lekCh_i32iE.mp4 |
76.83MB |
| Neural networks [5.3] - Restricted Boltzmann machine - free energy-e0Ts_7Y6hZU.mp4 |
64.90MB |
| Neural networks [5.4] - Restricted Boltzmann machine - contrastive divergence-MD8qXWucJBY.mp4 |
82.87MB |
| Neural networks [5.5] - Restricted Boltzmann machine - contrastive divergence (parameter update)-wMb7cads0go.mp4 |
65.20MB |
| Neural networks [5.6] - Restricted Boltzmann machine - persistent CD-S0kFFiHzR8M.mp4 |
44.50MB |
| Neural networks [5.7] - Restricted Boltzmann machine - example-n26NdEtma8U.mp4 |
53.53MB |
| Neural networks [5.8] - Restricted Boltzmann machine - extensions-iPuqoQih9xk.mp4 |
55.75MB |
| Neural networks [6.1] - Autoencoder - definition-FzS3tMl4Nsc.mp4 |
39.23MB |
| Neural networks [6.2] - Autoencoder - loss function-xTU79Zs4XKY.mp4 |
73.12MB |
| Neural networks [6.3] - Autoencoder - example-6DO_jVbDP3I.mp4 |
18.76MB |
| Neural networks [6.4] - Autoencoder - linear autoencoder-xq-I0Rl8mt0.mp4 |
166.49MB |
| Neural networks [6.5] - Autoencoder - undercomplete vs. overcomplete hidden layer-5rLgoM2Pkso.mp4 |
48.65MB |
| Neural networks [6.6] - Autoencoder - denoising autoencoder-t2NQ_c5BFOc.mp4 |
124.20MB |
| Neural networks [6.7] - Autoencoder - contractive autoencoder-79sYlJ8Cvlc.mp4 |
73.93MB |
| Neural networks [7.1] - Deep learning - motivation-vXMpKYRhpmI.mp4 |
100.49MB |
| Neural networks [7.2] - Deep learning - difficulty of training-YoiUlN_77LU.mp4 |
72.44MB |
| Neural networks [7.3] - Deep learning - unsupervised pre-training-Oq38pINmddk.mp4 |
86.50MB |
| Neural networks [7.4] - Deep learning - example-SXnG-lQ7RJo.mp4 |
85.69MB |
| Neural networks [7.5] - Deep learning - dropout-UcKPdAM8cnI.mp4 |
58.84MB |
| Neural networks [7.6] - Deep learning - deep autoencoder-z5ZYm_wJ37c.mp4 |
65.88MB |
| Neural networks [7.7] - Deep learning - deep belief network-vkb6AWYXZ5I.mp4 |
99.13MB |
| Neural networks [7.8] - Deep learning - variational bound-pStDscJh2Wo.mp4 |
89.04MB |
| Neural networks [7.9] - Deep learning - DBN pre-training-35MUlYCColk.mp4 |
140.26MB |
| Neural networks [8.1] - Sparse coding - definition-7a0_iEruGoM.mp4 |
68.77MB |
| Neural networks [8.2] - Sparse coding - inference (ISTA algorithm)-L6qhzWWtqQs.mp4 |
72.97MB |
| Neural networks [8.3] - Sparse coding - dictionary update with projected gradient descent-bhqNSjJ_A20.mp4 |
22.61MB |
| Neural networks [8.4] - Sparse coding - dictionary update with block-coordinate descent-UMdNfhgPKTc.mp4 |
82.37MB |
| Neural networks [8.5] - Sparse coding - dictionary learning algorithm-PzNMff7cYjM.mp4 |
47.52MB |
| Neural networks [8.6] - Sparse coding - online dictionary learning algorithm-IePxTepLvQc.mp4 |
77.36MB |
| Neural networks [8.7] - Sparse coding - ZCA preprocessing-eUiwhV1QcQ4.mp4 |
50.63MB |
| Neural networks [8.8] - Sparse coding - feature extraction-FL81zSjAEEg.mp4 |
68.91MB |
| Neural networks [8.9] - relationship with V1-MdomgSiL86Q.mp4 |
49.68MB |
| Neural networks [9.1] - Computer vision - motivation-rxKrCa4bg1I.mp4 |
46.77MB |
| Neural networks [9.2] - Computer vision - local connectivity-vLf3KVe2Z1k.mp4 |
30.80MB |
| Neural networks [9.3] - Computer vision - parameter sharing-aAT1t9p7ShM.mp4 |
82.76MB |
| Neural networks [9.4] - Computer vision - discrete convolution-Y7TMwqAWEdo.mp4 |
86.37MB |
| Neural networks [9.5] - Computer vision - pooling and subsampling-I-JKxcpbRT4.mp4 |
52.43MB |
| Neural networks [9.6] - Computer vision - convolutional network-cDdpwAIsuD8.mp4 |
116.76MB |
| Neural networks [9.7] - Computer vision - object recognition-eU83LSM3xnk.mp4 |
69.26MB |
| Neural networks [9.8] - Computer vision - example-Gk8VvSL3IMk.mp4 |
124.16MB |
| Neural networks [9.9] - Computer vision - data set expansion-Km1Q5VcSKAg.mp4 |
51.28MB |
| Neural networks [9.10] - Computer vision - convolutional RBM-y0SISi_T6s8.mp4 |
71.47MB |
| Neural networks [10.1] - Natural language processing - motivation-OzZIOiMVUyM.mp4 |
19.74MB |
| Neural networks [10.2] - Natural language processing - preprocessing-jcrhYEYwO9k.mp4 |
60.48MB |
| Neural networks [10.3] - Natural language processing - one-hot encoding-iZ3e_cifP7Y.mp4 |
51.95MB |
| Neural networks [10.4] - Natural language processing - word representations-PKszi8iogak.mp4 |
71.48MB |
| Neural networks [10.5] - Natural language processing - language modeling-iGmHnICXDss.mp4 |
57.46MB |
| Neural networks [10.6] - Natural language processing - neural network language model-FoDz01QNSiY.mp4 |
109.55MB |
| Neural networks [10.7] - Natural language processing - hierarchical output layer-B95LTf2rVWM.mp4 |
117.45MB |
| Neural networks [10.8] - Natural language processing - word tagging-pCLIo4Z-PsM.mp4 |
92.46MB |
| Neural networks [10.9] - Natural language processing - convolutional network-6jCDUQ-e-fY.mp4 |
108.85MB |
| Neural networks [10.10] - Natural language processing - multitask learning-ciNBQupWsAc.mp4 |
136.05MB |
| Neural networks [10.11] - Natural language processing - recursive network-AqEF2HIMjYA.mp4 |
49.86MB |
| Neural networks [10.12] - Natural language processing - merging representations-gPNPINa7PaM.mp4 |
31.31MB |
| Neural networks [10.13] - Natural language processing - tree inference-NJozqoejJnA.mp4 |
100.64MB |
| Neural networks [10.14] - Natural language processing - recursive network training-oRxgRHJztPI.mp4 |
87.35MB |
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