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| [CourseClub.NET].url |
123б |
| [FCS Forum].url |
133б |
| [FreeCourseSite.com].url |
127б |
| 001. Welcome to AML specialization!.mp4 |
13.67Мб |
| 001. Welcome to AML specialization!.srt |
4.71Кб |
| 002. Course intro.mp4 |
22.10Мб |
| 002. Course intro.srt |
8.78Кб |
| 003. Linear regression.mp4 |
35.73Мб |
| 003. Linear regression.srt |
13.34Кб |
| 004. Linear classification.mp4 |
42.66Мб |
| 004. Linear classification.srt |
16.39Кб |
| 005. Gradient descent.mp4 |
18.96Мб |
| 005. Gradient descent.srt |
7.41Кб |
| 006. Overfitting problem and model validation.mp4 |
26.42Мб |
| 006. Overfitting problem and model validation.srt |
9.79Кб |
| 007. Model regularization.mp4 |
19.85Мб |
| 007. Model regularization.srt |
7.43Кб |
| 008. Stochastic gradient descent.mp4 |
21.10Мб |
| 008. Stochastic gradient descent.srt |
7.76Кб |
| 009. Gradient descent extensions.mp4 |
36.57Мб |
| 009. Gradient descent extensions.srt |
13.38Кб |
| 010. Multilayer perceptron (MLP).mp4 |
44.68Мб |
| 010. Multilayer perceptron (MLP).srt |
18.51Кб |
| 011. Chain rule.mp4 |
26.59Мб |
| 011. Chain rule.srt |
9.97Кб |
| 012. Backpropagation.mp4 |
31.63Мб |
| 012. Backpropagation.srt |
11.37Кб |
| 013. Efficient MLP implementation.mp4 |
47.09Мб |
| 013. Efficient MLP implementation.srt |
16.62Кб |
| 014. Other matrix derivatives.mp4 |
21.42Мб |
| 014. Other matrix derivatives.srt |
8.57Кб |
| 015. What is TensorFlow.mp4 |
39.44Мб |
| 015. What is TensorFlow.srt |
14.67Кб |
| 016. Our first model in TensorFlow.mp4 |
36.80Мб |
| 016. Our first model in TensorFlow.srt |
13.84Кб |
| 017. What Deep Learning is and is not.mp4 |
29.46Мб |
| 017. What Deep Learning is and is not.srt |
13.90Кб |
| 018. Deep learning as a language.mp4 |
24.60Мб |
| 018. Deep learning as a language.srt |
11.89Кб |
| 019. Motivation for convolutional layers.mp4 |
41.38Мб |
| 019. Motivation for convolutional layers.srt |
15.97Кб |
| 020. Our first CNN architecture.mp4 |
42.57Мб |
| 020. Our first CNN architecture.srt |
13.32Кб |
| 021. Training tips and tricks for deep CNNs.mp4 |
57.90Мб |
| 021. Training tips and tricks for deep CNNs.srt |
18.18Кб |
| 022. Overview of modern CNN architectures.mp4 |
32.24Мб |
| 022. Overview of modern CNN architectures.srt |
9.52Кб |
| 023. Learning new tasks with pre-trained CNNs.mp4 |
19.28Мб |
| 023. Learning new tasks with pre-trained CNNs.srt |
6.84Кб |
| 024. A glimpse of other Computer Vision tasks.mp4 |
30.74Мб |
| 024. A glimpse of other Computer Vision tasks.srt |
10.79Кб |
| 025. Unsupervised learning what it is and why bother.mp4 |
23.78Мб |
| 025. Unsupervised learning what it is and why bother.srt |
9.54Кб |
| 026. Autoencoders 101.mp4 |
22.14Мб |
| 026. Autoencoders 101.srt |
8.15Кб |
| 027. Autoencoder applications.mp4 |
40.85Мб |
| 027. Autoencoder applications.srt |
14.73Кб |
| 028. Autoencoder applications image generation, data visualization & more.mp4 |
28.21Мб |
| 028. Autoencoder applications image generation, data visualization & more.srt |
10.64Кб |
| 029. Natural language processing primer.mp4 |
36.68Мб |
| 029. Natural language processing primer.srt |
15.32Кб |
| 030. Word embeddings.mp4 |
48.35Мб |
| 030. Word embeddings.srt |
20.23Кб |
| 031. Generative models 101.mp4 |
26.68Мб |
| 031. Generative models 101.srt |
11.22Кб |
| 032. Generative Adversarial Networks.mp4 |
36.16Мб |
| 032. Generative Adversarial Networks.srt |
15.34Кб |
| 033. Applications of adversarial approach.mp4 |
41.89Мб |
| 033. Applications of adversarial approach.srt |
15.89Кб |
| 034. Motivation for recurrent layers.mp4 |
30.15Мб |
| 034. Motivation for recurrent layers.srt |
10.56Кб |
| 035. Simple RNN and Backpropagation.mp4 |
35.07Мб |
| 035. Simple RNN and Backpropagation.srt |
12.54Кб |
| 036. The training of RNNs is not that easy.mp4 |
26.39Мб |
| 036. The training of RNNs is not that easy.srt |
10.36Кб |
| 037. Dealing with vanishing and exploding gradients.mp4 |
34.86Мб |
| 037. Dealing with vanishing and exploding gradients.srt |
13.67Кб |
| 038. Modern RNNs LSTM and GRU.mp4 |
47.70Мб |
| 038. Modern RNNs LSTM and GRU.srt |
17.21Кб |
| 039. Practical use cases for RNNs.mp4 |
56.12Мб |
| 039. Practical use cases for RNNs.srt |
19.47Кб |