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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
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| 001 [Installation] Python and Jupyter Notebook via Anaconda_en.vtt |
10.01KB |
| 001 [Installation] Python and Jupyter Notebook via Anaconda.mp4 |
42.74MB |
| 001 [Project 2] Complete neural network Sign of the sum of two numbers_en.vtt |
4.32KB |
| 001 [Project 2] Complete neural network Sign of the sum of two numbers.mp4 |
36.20MB |
| 001 [Project 3] Same neural network Applied to recognize hand-written digits_en.vtt |
3.32KB |
| 001 [Project 3] Same neural network Applied to recognize hand-written digits.mp4 |
27.60MB |
| 001 2-Sign-template.ipynb |
15.78KB |
| 001 3-Number-recognition-template.ipynb |
73.34KB |
| 001 Digit-network.png |
305.44KB |
| 001 How to improve the network_en.vtt |
6.80KB |
| 001 How to improve the network.mp4 |
32.66MB |
| 001 Let's get started!.html |
280B |
| 001 Overview of the course_en.vtt |
3.41KB |
| 001 Overview of the course.mp4 |
45.95MB |
| 001 Sign-network.png |
246.79KB |
| 002 0-Interpolation-template.ipynb |
12.02KB |
| 002 0-Interpolation-template.ipynb |
12.02KB |
| 002 1-Addition-template.ipynb |
10.88KB |
| 002 1-Addition-template.ipynb |
10.88KB |
| 002 2-Sign-template.ipynb |
15.78KB |
| 002 2-Sign-template.ipynb |
15.78KB |
| 002 2-Sign-template.ipynb |
15.78KB |
| 002 3-Number-recognition-template.ipynb |
73.34KB |
| 002 3-Number-recognition-template.ipynb |
73.34KB |
| 002 3-Number-recognition-template.ipynb |
73.34KB |
| 002 Addition-network.png |
92.45KB |
| 002 Addition-network.png |
92.45KB |
| 002 Apply our neural network to the new problem Number recognition_en.vtt |
12.28KB |
| 002 Apply our neural network to the new problem Number recognition.mp4 |
72.02MB |
| 002 Digit-network.png |
305.44KB |
| 002 Digit-network.png |
305.44KB |
| 002 Digit-network.png |
305.44KB |
| 002 From interpolation to neural networks_en.vtt |
5.01KB |
| 002 From interpolation to neural networks.mp4 |
46.87MB |
| 002 Modify input, output & weights_en.vtt |
15.44KB |
| 002 Modify input, output & weights.mp4 |
89.72MB |
| 002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica_en.vtt |
9.57KB |
| 002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica.mp4 |
36.32MB |
| 002 Sign-network.png |
246.79KB |
| 002 Sign-network.png |
246.79KB |
| 002 Sign-network.png |
246.79KB |
| 002 Template files.html |
58B |
| 002 Template files for this course.html |
713B |
| 003 0-Interpolation.ipynb |
37.61KB |
| 003 0-Interpolation-template.ipynb |
12.02KB |
| 003 1-Addition-template.ipynb |
10.88KB |
| 003 2-Sign.ipynb |
136.70KB |
| 003 3-Number-recognition.ipynb |
361.42KB |
| 003 Add an activation function to the neural network_en.vtt |
10.78KB |
| 003 Add an activation function to the neural network.mp4 |
57.99MB |
| 003 Addition-network.png |
92.45KB |
| 003 Digit-network.png |
305.44KB |
| 003 Finalized jupyter notebooks.html |
244B |
| 003 Goodbye!_en.vtt |
1.57KB |
| 003 Goodbye!.mp4 |
24.05MB |
| 003 Improve the gradient function_en.vtt |
9.84KB |
| 003 Improve the gradient function.mp4 |
65.36MB |
| 003 Interpolation (or regression) - The fundamental principle of machine learning_en.vtt |
31.17KB |
| 003 Interpolation (or regression) - The fundamental principle of machine learning.mp4 |
189.64MB |
| 003 Sign-network.png |
246.79KB |
| 003 What are neural networks_en.vtt |
8.66KB |
| 003 What are neural networks.mp4 |
82.62MB |
| 004 [Project 1] Most simple neural network Sum of two numbers_en.vtt |
3.47KB |
| 004 [Project 1] Most simple neural network Sum of two numbers.mp4 |
29.21MB |
| 004 1-Addition-template.ipynb |
10.88KB |
| 004 Addition-network.png |
92.45KB |
| 004 Analysis of the trained neural network_en.vtt |
11.40KB |
| 004 Analysis of the trained neural network.mp4 |
61.51MB |
| 004 Modify accuracy and error functions_en.vtt |
9.09KB |
| 004 Modify accuracy and error functions.mp4 |
46.88MB |
| 005 1-Addition-template.ipynb |
10.88KB |
| 005 Addition-network.png |
92.45KB |
| 005 Modify gradient of the error function_en.vtt |
10.91KB |
| 005 Modify gradient of the error function.mp4 |
60.49MB |
| 005 Prepare the training and testing data_en.vtt |
7.79KB |
| 005 Prepare the training and testing data.mp4 |
41.04MB |
| 006 Initialize the weights & Calculate the output_en.vtt |
9.05KB |
| 006 Initialize the weights & Calculate the output.mp4 |
42.73MB |
| 006 Training & Testing the modified neural network_en.vtt |
9.28KB |
| 006 Training & Testing the modified neural network.mp4 |
57.56MB |
| 007 Accuracy & Error functions_en.vtt |
12.42KB |
| 007 Accuracy & Error functions.mp4 |
63.67MB |
| 008 Gradient of the error function_en.vtt |
7.81KB |
| 008 Gradient of the error function.mp4 |
39.24MB |
| 009 Training the neural network via gradient descent_en.vtt |
11.83KB |
| 009 Training the neural network via gradient descent.mp4 |
58.52MB |
| 010 Using the trained network on the test data_en.vtt |
7.67KB |
| 010 Using the trained network on the test data.mp4 |
47.89MB |
| Bonus Resources.txt |
386B |
| Get Bonus Downloads Here.url |
182B |