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[ DevCourseWeb com ] Udemy - Neural Networks in Python from Scratch - Learning by Doing

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[ DevCourseWeb com ] Udemy - Neural Networks in Python from Scratch - Learning by Doing

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Name:[ DevCourseWeb com ] Udemy - Neural Networks in Python from Scratch - Learning by Doing

Infohash: EB6A41B30ED23BCC83789FFAF14AA2BC945E32B5

Total Size: 1.37 GB

Seeds: 1

Leechers: 1

Stream: Watch Full Movie @ Movie4u

Last Updated: 2024-02-20 04:50:30 (Update Now)

Torrent added: 2022-06-30 22:03:17






Torrent Files List


Get Bonus Downloads Here.url (Size: 1.37 GB) (Files: 90)

 Get Bonus Downloads Here.url

0.18 KB

 ~Get Your Files Here !

  01 - Introduction Interpolation & Machine learning

   001 Overview of the course.mp4

45.95 MB

   001 Overview of the course_en.vtt

3.41 KB

   002 0-Interpolation-template.ipynb

12.02 KB

   002 1-Addition-template.ipynb

10.88 KB

   002 2-Sign-template.ipynb

15.78 KB

   002 3-Number-recognition-template.ipynb

73.34 KB

   002 Addition-network.png

92.45 KB

   002 Digit-network.png

305.44 KB

   002 Sign-network.png

246.79 KB

   002 Template files for this course.html

0.70 KB

   003 0-Interpolation-template.ipynb

12.02 KB

   003 Interpolation (or regression) - The fundamental principle of machine learning.mp4

189.64 MB

   003 Interpolation (or regression) - The fundamental principle of machine learning_en.vtt

31.17 KB

  02 - Your first neural network Sum of two numbers

   001 Let's get started!.html

0.27 KB

   002 From interpolation to neural networks.mp4

46.87 MB

   002 From interpolation to neural networks_en.vtt

5.01 KB

   003 What are neural networks.mp4

82.62 MB

   003 What are neural networks_en.vtt

8.66 KB

   004 1-Addition-template.ipynb

10.88 KB

   004 Addition-network.png

92.45 KB

   004 [Project 1] Most simple neural network Sum of two numbers.mp4

29.21 MB

   004 [Project 1] Most simple neural network Sum of two numbers_en.vtt

3.47 KB

   005 1-Addition-template.ipynb

10.88 KB

   005 Addition-network.png

92.45 KB

   005 Prepare the training and testing data.mp4

41.04 MB

   005 Prepare the training and testing data_en.vtt

7.79 KB

   006 Initialize the weights & Calculate the output.mp4

42.73 MB

   006 Initialize the weights & Calculate the output_en.vtt

9.05 KB

   007 Accuracy & Error functions.mp4

63.67 MB

   007 Accuracy & Error functions_en.vtt

12.42 KB

   008 Gradient of the error function.mp4

39.24 MB

   008 Gradient of the error function_en.vtt

7.81 KB

   009 Training the neural network via gradient descent.mp4

58.52 MB

   009 Training the neural network via gradient descent_en.vtt

11.83 KB

   010 Using the trained network on the test data.mp4

47.89 MB

   010 Using the trained network on the test data_en.vtt

7.67 KB

  03 - Modifying the problem Sign of the sum of two numbers

   001 2-Sign-template.ipynb

15.78 KB

   001 Sign-network.png

246.79 KB

   001 [Project 2] Complete neural network Sign of the sum of two numbers.mp4

36.20 MB

   001 [Project 2] Complete neural network Sign of the sum of two numbers_en.vtt

4.32 KB

   002 2-Sign-template.ipynb

15.78 KB

   002 Modify input, output & weights.mp4

89.72 MB

   002 Modify input, output & weights_en.vtt

15.44 KB

   002 Sign-network.png

246.79 KB

   003 Add an activation function to the neural network.mp4

57.99 MB

   003 Add an activation function to the neural network_en.vtt

10.78 KB

   004 Modify accuracy and error functions.mp4

46.88 MB

   004 Modify accuracy and error functions_en.vtt

9.09 KB

   005 Modify gradient of the error function.mp4

60.49 MB

   005 Modify gradient of the error function_en.vtt

10.91 KB

   006 Training & Testing the modified neural network.mp4

57.56 MB

   006 Training & Testing the modified neural network_en.vtt

9.28 KB

  04 - Same code, different problem Image recognition

   001 3-Number-recognition-template.ipynb

73.34 KB

   001 Digit-network.png

305.44 KB

   001 [Project 3] Same neural network Applied to recognize hand-written digits.mp4

27.60 MB

   001 [Project 3] Same neural network Applied to recognize hand-written digits_en.vtt

3.32 KB

   002 3-Number-recognition-template.ipynb

73.34 KB

   002 Apply our neural network to the new problem Number recognition.mp4

72.02 MB

   002 Apply our neural network to the new problem Number recognition_en.vtt

12.28 KB

   002 Digit-network.png

305.44 KB

   003 Improve the gradient function.mp4

65.36 MB

   003 Improve the gradient function_en.vtt

9.84 KB

   004 Analysis of the trained neural network.mp4

61.51 MB

   004 Analysis of the trained neural network_en.vtt

11.40 KB

  05 - Outlook & Goodbye

   001 How to improve the network.mp4

32.66 MB

   001 How to improve the network_en.vtt

6.80 KB

   002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica.mp4

36.32 MB

   002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica_en.vtt

9.57 KB

   003 Goodbye!.mp4

24.05 MB

   003 Goodbye!_en.vtt

1.57 KB

  06 - [Resources]

   001 [Installation] Python and Jupyter Notebook via Anaconda.mp4

42.74 MB

   001 [Installation] Python and Jupyter Notebook via Anaconda_en.vtt

10.01 KB

   002 0-Interpolation-template.ipynb

12.02 KB

   002 1-Addition-template.ipynb

10.88 KB

   002 2-Sign-template.ipynb

15.78 KB

   002 3-Number-recognition-template.ipynb

73.34 KB

   002 Addition-network.png

92.45 KB

   002 Digit-network.png

305.44 KB

   002 Sign-network.png

246.79 KB

   002 Template files.html

0.06 KB

   003 0-Interpolation.ipynb

37.61 KB

   003 1-Addition-template.ipynb

10.88 KB

   003 2-Sign.ipynb

136.70 KB

   003 3-Number-recognition.ipynb

361.42 KB

   003 Addition-network.png

92.45 KB

   003 Digit-network.png

305.44 KB

   003 Finalized jupyter notebooks.html

0.24 KB

   003 Sign-network.png

246.79 KB

  Bonus Resources.txt

0.38 KB
 

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