[FreeCoursesOnline Me] [MANNING] Grokking Deep Learning in Motion [FCO] Torrent Download

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Name:	[FreeCoursesOnline Me] [MANNING] Grokking Deep Learning in Motion [FCO]
Usenet:	Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial
Hash:	9FC14C1572C4956A068152101F3409A6B2DE5337
Category:	Other
Peers:	Seeds: 6 & Leechers: 11
Size:	3.29 GB
Stream:	Watch Full HD Movies @ LimeMovies
Date:	28 May 2019

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This is verified, clean and high quality torrent (0) \| Fake (0) \| Password (0) \| Low quality (0) \| Virus (0)

Torrent Files Size: 3.29 GB
[FreeCoursesOnline.Me] [MANNING] Grokking Deep Learning in Motion [FCO] 0. Websites you may like 1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url - 328 bytes 2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url - 286 bytes 3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url - 163 bytes 4. (FTUApps.com) Download Cracked Developers Applications For Free.url - 239 bytes 5. (Discuss.FTUForum.com) FTU Discussion Forum.url - 294 bytes How you can help Team-FTU.txt - 237 bytes 01 - Introduction.mp4 - 90.98 MB 02 - What you need to get started.mp4 - 75.23 MB 03 - What is Deep Learning and Machine Learning.mp4 - 82.64 MB 04 - Supervised vs. unsupervised learning.mp4 - 74.87 MB 05 - Parametric vs. non-parametric learning.mp4 - 100.17 MB 06 - Making a prediction.mp4 - 90.36 MB 07 - What does a Neural Network do.mp4 - 45.68 MB 08 - Multiple inputs.mp4 - 95.21 MB 09 - Multiple outputs and stacking predictions.mp4 - 74.21 MB 10 - Primer on NumPy.mp4 - 63.64 MB 11 - Compare and learn.mp4 - 82.56 MB 12 - Why measure error.mp4 - 58.61 MB 13 - Hot and cold learning.mp4 - 85.75 MB 14 - Gradient descent.mp4 - 80.72 MB 15 - Learning with gradient decent.mp4 - 82.45 MB 16 - The secret to learning.mp4 - 83.02 MB 17 - How to use a derivative to learn.mp4 - 105.82 MB 18 - Alpha.mp4 - 77.21 MB 19 - Gradient descent learning with multiple inputs.mp4 - 80.31 MB 20 - Several steps of learning.mp4 - 45.96 MB 21 - Gradient descent with multiple outputs.mp4 - 39.29 MB 22 - Visualizing weight values.mp4 - 92.57 MB 23 - The streetlight problem.mp4 - 80.72 MB 24 - Building our neural network.mp4 - 96.47 MB 25 - Up and down pressure.mp4 - 137.95 MB 26 - Correlation and backpropagation.mp4 - 92.68 MB 27 - Linear vs. non-linear.mp4 - 68 MB 28 - Our first 'deep' neural network.mp4 - 89.14 MB 29 - Simplifying.mp4 - 86.64 MB 30 - Simplified visualization.mp4 - 73.08 MB 31 - Seeing the network predict.mp4 - 80.17 MB 32 - 3-layer network on MNIST.mp4 - 121.89 MB 33 - Overfitting in Neural Networks.mp4 - 84.43 MB 34 - Regularization - Early Stopping and Dropout.mp4 - 185.54 MB 35 - Activation Function Constraints.mp4 - 89.94 MB 36 - Standard Activation Functions.mp4 - 127.35 MB 37 - Softmax and implementation in code.mp4 - 172.77 MB 38 - Where to go from here.mp4 - 73.09 MB

Torrent Files

Size: 3.29 GB

[FreeCoursesOnline.Me] [MANNING] Grokking Deep Learning in Motion [FCO]

0. Websites you may like

1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url -

328 bytes

2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url -

286 bytes

3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url -

163 bytes

4. (FTUApps.com) Download Cracked Developers Applications For Free.url -

239 bytes

5. (Discuss.FTUForum.com) FTU Discussion Forum.url -

294 bytes

How you can help Team-FTU.txt -

237 bytes

01 - Introduction.mp4 -

90.98 MB

02 - What you need to get started.mp4 -

75.23 MB

03 - What is Deep Learning and Machine Learning.mp4 -

82.64 MB

04 - Supervised vs. unsupervised learning.mp4 -

74.87 MB

05 - Parametric vs. non-parametric learning.mp4 -

100.17 MB

06 - Making a prediction.mp4 -

90.36 MB

07 - What does a Neural Network do.mp4 -

45.68 MB

08 - Multiple inputs.mp4 -

95.21 MB

09 - Multiple outputs and stacking predictions.mp4 -

74.21 MB

10 - Primer on NumPy.mp4 -

63.64 MB

11 - Compare and learn.mp4 -

82.56 MB

12 - Why measure error.mp4 -

58.61 MB

13 - Hot and cold learning.mp4 -

85.75 MB

14 - Gradient descent.mp4 -

80.72 MB

15 - Learning with gradient decent.mp4 -

82.45 MB

16 - The secret to learning.mp4 -

83.02 MB

17 - How to use a derivative to learn.mp4 -

105.82 MB

18 - Alpha.mp4 -

77.21 MB

19 - Gradient descent learning with multiple inputs.mp4 -

80.31 MB

20 - Several steps of learning.mp4 -

45.96 MB

21 - Gradient descent with multiple outputs.mp4 -

39.29 MB

22 - Visualizing weight values.mp4 -

92.57 MB

23 - The streetlight problem.mp4 -

80.72 MB

24 - Building our neural network.mp4 -

96.47 MB

25 - Up and down pressure.mp4 -

137.95 MB

26 - Correlation and backpropagation.mp4 -

92.68 MB

27 - Linear vs. non-linear.mp4 -

68 MB

28 - Our first 'deep' neural network.mp4 -

89.14 MB

29 - Simplifying.mp4 -

86.64 MB

30 - Simplified visualization.mp4 -

73.08 MB

31 - Seeing the network predict.mp4 -

80.17 MB

32 - 3-layer network on MNIST.mp4 -

121.89 MB

33 - Overfitting in Neural Networks.mp4 -

84.43 MB

34 - Regularization - Early Stopping and Dropout.mp4 -

185.54 MB

35 - Activation Function Constraints.mp4 -

89.94 MB

36 - Standard Activation Functions.mp4 -

127.35 MB

37 - Softmax and implementation in code.mp4 -

172.77 MB

38 - Where to go from here.mp4 -

73.09 MB

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