[CourseClub.NET] Coursera - Introduction to Deep Learning torrent, magnet, bt

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[CourseClub.NET] Coursera - Introduction to Deep Learning

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2018-10-02

Keywords:

CourseClub NET Coursera Introduction to Deep Learning

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File Name

Size

001.Specialization Promo/001. Welcome to AML specialization!.mp4

13.67MB

001.Specialization Promo/001. Welcome to AML specialization!.srt

4.71KB

002.Course intro/002. Course intro.mp4

22.1MB

002.Course intro/002. Course intro.srt

8.78KB

003.Linear model as the simplest neural network/003. Linear regression.mp4

35.73MB

003.Linear model as the simplest neural network/003. Linear regression.srt

13.34KB

003.Linear model as the simplest neural network/004. Linear classification.mp4

42.66MB

003.Linear model as the simplest neural network/004. Linear classification.srt

16.39KB

003.Linear model as the simplest neural network/005. Gradient descent.mp4

18.96MB

003.Linear model as the simplest neural network/005. Gradient descent.srt

7.41KB

004.Regularization in machine learning/006. Overfitting problem and model validation.mp4

26.42MB

004.Regularization in machine learning/006. Overfitting problem and model validation.srt

9.79KB

004.Regularization in machine learning/007. Model regularization.mp4

19.85MB

004.Regularization in machine learning/007. Model regularization.srt

7.43KB

005.Stochastic methods for optimization/008. Stochastic gradient descent.mp4

21.1MB

005.Stochastic methods for optimization/008. Stochastic gradient descent.srt

7.76KB

005.Stochastic methods for optimization/009. Gradient descent extensions.mp4

36.57MB

005.Stochastic methods for optimization/009. Gradient descent extensions.srt

13.38KB

006.The simplest neural network MLP/010. Multilayer perceptron (MLP).mp4

44.68MB

006.The simplest neural network MLP/010. Multilayer perceptron (MLP).srt

18.51KB

006.The simplest neural network MLP/011. Chain rule.mp4

26.59MB

006.The simplest neural network MLP/011. Chain rule.srt

9.97KB

006.The simplest neural network MLP/012. Backpropagation.mp4

31.63MB

006.The simplest neural network MLP/012. Backpropagation.srt

11.37KB

007.Matrix derivatives/013. Efficient MLP implementation.mp4

47.09MB

007.Matrix derivatives/013. Efficient MLP implementation.srt

16.62KB

007.Matrix derivatives/014. Other matrix derivatives.mp4

21.42MB

007.Matrix derivatives/014. Other matrix derivatives.srt

8.57KB

008.TensorFlow framework/015. What is TensorFlow.mp4

39.44MB

008.TensorFlow framework/015. What is TensorFlow.srt

14.67KB

008.TensorFlow framework/016. Our first model in TensorFlow.mp4

36.8MB

008.TensorFlow framework/016. Our first model in TensorFlow.srt

13.84KB

009.Philosophy of deep learning/017. What Deep Learning is and is not.mp4

29.46MB

009.Philosophy of deep learning/017. What Deep Learning is and is not.srt

13.9KB

009.Philosophy of deep learning/018. Deep learning as a language.mp4

24.6MB

009.Philosophy of deep learning/018. Deep learning as a language.srt

11.89KB

010.Introduction to CNN/019. Motivation for convolutional layers.mp4

41.38MB

010.Introduction to CNN/019. Motivation for convolutional layers.srt

15.97KB

010.Introduction to CNN/020. Our first CNN architecture.mp4

42.57MB

010.Introduction to CNN/020. Our first CNN architecture.srt

13.32KB

011.Modern CNNs/021. Training tips and tricks for deep CNNs.mp4

57.9MB

011.Modern CNNs/021. Training tips and tricks for deep CNNs.srt

18.18KB

011.Modern CNNs/022. Overview of modern CNN architectures.mp4

32.24MB

011.Modern CNNs/022. Overview of modern CNN architectures.srt

9.52KB

012.Applications of CNNs/023. Learning new tasks with pre-trained CNNs.mp4

19.28MB

012.Applications of CNNs/023. Learning new tasks with pre-trained CNNs.srt

6.84KB

012.Applications of CNNs/024. A glimpse of other Computer Vision tasks.mp4

30.74MB

012.Applications of CNNs/024. A glimpse of other Computer Vision tasks.srt

10.79KB

013.Intro to Unsupervised Learning/025. Unsupervised learning what it is and why bother.mp4

23.78MB

013.Intro to Unsupervised Learning/025. Unsupervised learning what it is and why bother.srt

9.54KB

013.Intro to Unsupervised Learning/026. Autoencoders 101.mp4

22.14MB

013.Intro to Unsupervised Learning/026. Autoencoders 101.srt

8.15KB

014.More Autoencoders/027. Autoencoder applications.mp4

40.85MB

014.More Autoencoders/027. Autoencoder applications.srt

14.73KB

014.More Autoencoders/028. Autoencoder applications image generation, data visualization & more.mp4

28.21MB

014.More Autoencoders/028. Autoencoder applications image generation, data visualization & more.srt

10.64KB

015.Word Embeddings/029. Natural language processing primer.mp4

36.68MB

015.Word Embeddings/029. Natural language processing primer.srt

15.32KB

015.Word Embeddings/030. Word embeddings.mp4

48.35MB

015.Word Embeddings/030. Word embeddings.srt

20.23KB

016.Generative Adversarial Networks/031. Generative models 101.mp4

26.68MB

016.Generative Adversarial Networks/031. Generative models 101.srt

11.22KB

016.Generative Adversarial Networks/032. Generative Adversarial Networks.mp4

36.16MB

016.Generative Adversarial Networks/032. Generative Adversarial Networks.srt

15.34KB

016.Generative Adversarial Networks/033. Applications of adversarial approach.mp4

41.89MB

016.Generative Adversarial Networks/033. Applications of adversarial approach.srt

15.89KB

017.Introduction to RNN/034. Motivation for recurrent layers.mp4

30.15MB

017.Introduction to RNN/034. Motivation for recurrent layers.srt

10.56KB

017.Introduction to RNN/035. Simple RNN and Backpropagation.mp4

35.07MB

017.Introduction to RNN/035. Simple RNN and Backpropagation.srt

12.54KB

018.Modern RNNs/036. The training of RNNs is not that easy.mp4

26.39MB

018.Modern RNNs/036. The training of RNNs is not that easy.srt

10.36KB

018.Modern RNNs/037. Dealing with vanishing and exploding gradients.mp4

34.86MB

018.Modern RNNs/037. Dealing with vanishing and exploding gradients.srt

13.67KB

018.Modern RNNs/038. Modern RNNs LSTM and GRU.mp4

47.7MB

018.Modern RNNs/038. Modern RNNs LSTM and GRU.srt

17.21KB

019.Applications of RNNs/039. Practical use cases for RNNs.mp4

56.12MB

019.Applications of RNNs/039. Practical use cases for RNNs.srt

19.47KB

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123B

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133B

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127B

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