[CourseClub NET] Coursera - Introduction to Deep Learning


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[CourseClub NET] Coursera - Introduction to Deep Learning
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Torrent File Content (81 files)


[CourseClub.NET] Coursera - Introduction to Deep Learning
    001.Specialization Promo
          001. Welcome to AML specialization!.mp4 -
13.67 MB

          001. Welcome to AML specialization!.srt -
4.71 KB

    002.Course intro
          002. Course intro.mp4 -
22.1 MB

          002. Course intro.srt -
8.78 KB

    003.Linear model as the simplest neural network
          003. Linear regression.mp4 -
35.73 MB

          003. Linear regression.srt -
13.34 KB

          004. Linear classification.mp4 -
42.66 MB

          004. Linear classification.srt -
16.39 KB

          005. Gradient descent.mp4 -
18.96 MB

          005. Gradient descent.srt -
7.41 KB

    004.Regularization in machine learning
          006. Overfitting problem and model validation.mp4 -
26.42 MB

          006. Overfitting problem and model validation.srt -
9.79 KB

          007. Model regularization.mp4 -
19.85 MB

          007. Model regularization.srt -
7.43 KB

    005.Stochastic methods for optimization
          008. Stochastic gradient descent.mp4 -
21.1 MB

          008. Stochastic gradient descent.srt -
7.76 KB

          009. Gradient descent extensions.mp4 -
36.57 MB

          009. Gradient descent extensions.srt -
13.38 KB

    006.The simplest neural network MLP
          010. Multilayer perceptron (MLP).mp4 -
44.68 MB

          010. Multilayer perceptron (MLP).srt -
18.51 KB

          011. Chain rule.mp4 -
26.59 MB

          011. Chain rule.srt -
9.97 KB

          012. Backpropagation.mp4 -
31.63 MB

          012. Backpropagation.srt -
11.37 KB

    007.Matrix derivatives
          013. Efficient MLP implementation.mp4 -
47.09 MB

          013. Efficient MLP implementation.srt -
16.62 KB

          014. Other matrix derivatives.mp4 -
21.42 MB

          014. Other matrix derivatives.srt -
8.57 KB

    008.TensorFlow framework
          015. What is TensorFlow.mp4 -
39.44 MB

          015. What is TensorFlow.srt -
14.67 KB

          016. Our first model in TensorFlow.mp4 -
36.8 MB

          016. Our first model in TensorFlow.srt -
13.84 KB

    009.Philosophy of deep learning
          017. What Deep Learning is and is not.mp4 -
29.46 MB

          017. What Deep Learning is and is not.srt -
13.9 KB

          018. Deep learning as a language.mp4 -
24.6 MB

          018. Deep learning as a language.srt -
11.89 KB

    010.Introduction to CNN
          019. Motivation for convolutional layers.mp4 -
41.38 MB

          019. Motivation for convolutional layers.srt -
15.97 KB

          020. Our first CNN architecture.mp4 -
42.57 MB

          020. Our first CNN architecture.srt -
13.32 KB

    011.Modern CNNs
          021. Training tips and tricks for deep CNNs.mp4 -
57.9 MB

          021. Training tips and tricks for deep CNNs.srt -
18.18 KB

          022. Overview of modern CNN architectures.mp4 -
32.24 MB

          022. Overview of modern CNN architectures.srt -
9.52 KB

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

          023. Learning new tasks with pre-trained CNNs.srt -
6.84 KB

          024. A glimpse of other Computer Vision tasks.mp4 -
30.74 MB

          024. A glimpse of other Computer Vision tasks.srt -
10.79 KB

    013.Intro to Unsupervised Learning
          025. Unsupervised learning what it is and why bother.mp4 -
23.78 MB

          025. Unsupervised learning what it is and why bother.srt -
9.54 KB



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