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001 [Installation] Python and Jupyter Notebook via Anaconda_en.vtt |
10.01Кб |
001 [Installation] Python and Jupyter Notebook via Anaconda.mp4 |
42.74Мб |
001 [Project 2] Complete neural network Sign of the sum of two numbers_en.vtt |
4.32Кб |
001 [Project 2] Complete neural network Sign of the sum of two numbers.mp4 |
36.20Мб |
001 [Project 3] Same neural network Applied to recognize hand-written digits_en.vtt |
3.32Кб |
001 [Project 3] Same neural network Applied to recognize hand-written digits.mp4 |
27.60Мб |
001 2-Sign-template.ipynb |
15.78Кб |
001 3-Number-recognition-template.ipynb |
73.34Кб |
001 Digit-network.png |
305.44Кб |
001 How to improve the network_en.vtt |
6.80Кб |
001 How to improve the network.mp4 |
32.66Мб |
001 Let's get started!.html |
280б |
001 Overview of the course_en.vtt |
3.41Кб |
001 Overview of the course.mp4 |
45.95Мб |
001 Sign-network.png |
246.79Кб |
002 0-Interpolation-template.ipynb |
12.02Кб |
002 0-Interpolation-template.ipynb |
12.02Кб |
002 1-Addition-template.ipynb |
10.88Кб |
002 1-Addition-template.ipynb |
10.88Кб |
002 2-Sign-template.ipynb |
15.78Кб |
002 2-Sign-template.ipynb |
15.78Кб |
002 2-Sign-template.ipynb |
15.78Кб |
002 3-Number-recognition-template.ipynb |
73.34Кб |
002 3-Number-recognition-template.ipynb |
73.34Кб |
002 3-Number-recognition-template.ipynb |
73.34Кб |
002 Addition-network.png |
92.45Кб |
002 Addition-network.png |
92.45Кб |
002 Apply our neural network to the new problem Number recognition_en.vtt |
12.28Кб |
002 Apply our neural network to the new problem Number recognition.mp4 |
72.02Мб |
002 Digit-network.png |
305.44Кб |
002 Digit-network.png |
305.44Кб |
002 Digit-network.png |
305.44Кб |
002 From interpolation to neural networks_en.vtt |
5.01Кб |
002 From interpolation to neural networks.mp4 |
46.87Мб |
002 Modify input, output & weights_en.vtt |
15.44Кб |
002 Modify input, output & weights.mp4 |
89.72Мб |
002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica_en.vtt |
9.57Кб |
002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica.mp4 |
36.32Мб |
002 Sign-network.png |
246.79Кб |
002 Sign-network.png |
246.79Кб |
002 Sign-network.png |
246.79Кб |
002 Template files.html |
58б |
002 Template files for this course.html |
713б |
003 0-Interpolation.ipynb |
37.61Кб |
003 0-Interpolation-template.ipynb |
12.02Кб |
003 1-Addition-template.ipynb |
10.88Кб |
003 2-Sign.ipynb |
136.70Кб |
003 3-Number-recognition.ipynb |
361.42Кб |
003 Add an activation function to the neural network_en.vtt |
10.78Кб |
003 Add an activation function to the neural network.mp4 |
57.99Мб |
003 Addition-network.png |
92.45Кб |
003 Digit-network.png |
305.44Кб |
003 Finalized jupyter notebooks.html |
244б |
003 Goodbye!_en.vtt |
1.57Кб |
003 Goodbye!.mp4 |
24.05Мб |
003 Improve the gradient function_en.vtt |
9.84Кб |
003 Improve the gradient function.mp4 |
65.36Мб |
003 Interpolation (or regression) - The fundamental principle of machine learning_en.vtt |
31.17Кб |
003 Interpolation (or regression) - The fundamental principle of machine learning.mp4 |
189.64Мб |
003 Sign-network.png |
246.79Кб |
003 What are neural networks_en.vtt |
8.66Кб |
003 What are neural networks.mp4 |
82.62Мб |
004 [Project 1] Most simple neural network Sum of two numbers_en.vtt |
3.47Кб |
004 [Project 1] Most simple neural network Sum of two numbers.mp4 |
29.21Мб |
004 1-Addition-template.ipynb |
10.88Кб |
004 Addition-network.png |
92.45Кб |
004 Analysis of the trained neural network_en.vtt |
11.40Кб |
004 Analysis of the trained neural network.mp4 |
61.51Мб |
004 Modify accuracy and error functions_en.vtt |
9.09Кб |
004 Modify accuracy and error functions.mp4 |
46.88Мб |
005 1-Addition-template.ipynb |
10.88Кб |
005 Addition-network.png |
92.45Кб |
005 Modify gradient of the error function_en.vtt |
10.91Кб |
005 Modify gradient of the error function.mp4 |
60.49Мб |
005 Prepare the training and testing data_en.vtt |
7.79Кб |
005 Prepare the training and testing data.mp4 |
41.04Мб |
006 Initialize the weights & Calculate the output_en.vtt |
9.05Кб |
006 Initialize the weights & Calculate the output.mp4 |
42.73Мб |
006 Training & Testing the modified neural network_en.vtt |
9.28Кб |
006 Training & Testing the modified neural network.mp4 |
57.56Мб |
007 Accuracy & Error functions_en.vtt |
12.42Кб |
007 Accuracy & Error functions.mp4 |
63.67Мб |
008 Gradient of the error function_en.vtt |
7.81Кб |
008 Gradient of the error function.mp4 |
39.24Мб |
009 Training the neural network via gradient descent_en.vtt |
11.83Кб |
009 Training the neural network via gradient descent.mp4 |
58.52Мб |
010 Using the trained network on the test data_en.vtt |
7.67Кб |
010 Using the trained network on the test data.mp4 |
47.89Мб |
Bonus Resources.txt |
386б |
Get Bonus Downloads Here.url |
182б |