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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
Magnet: Magnet Download
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
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01 - Introduction Interpolation & Machine learning
001 Overview of the course.mp4
45.95 MB001 Overview of the course_en.vtt
3.41 KB002 0-Interpolation-template.ipynb
12.02 KB002 1-Addition-template.ipynb
10.88 KB002 2-Sign-template.ipynb
15.78 KB002 3-Number-recognition-template.ipynb
73.34 KB002 Addition-network.png
92.45 KB002 Digit-network.png
305.44 KB002 Sign-network.png
246.79 KB002 Template files for this course.html
0.70 KB003 0-Interpolation-template.ipynb
12.02 KB003 Interpolation (or regression) - The fundamental principle of machine learning.mp4
189.64 MB003 Interpolation (or regression) - The fundamental principle of machine learning_en.vtt
31.17 KB02 - Your first neural network Sum of two numbers
001 Let's get started!.html
0.27 KB002 From interpolation to neural networks.mp4
46.87 MB002 From interpolation to neural networks_en.vtt
5.01 KB003 What are neural networks.mp4
82.62 MB003 What are neural networks_en.vtt
8.66 KB004 1-Addition-template.ipynb
10.88 KB004 Addition-network.png
92.45 KB004 [Project 1] Most simple neural network Sum of two numbers.mp4
29.21 MB004 [Project 1] Most simple neural network Sum of two numbers_en.vtt
3.47 KB005 1-Addition-template.ipynb
10.88 KB005 Addition-network.png
92.45 KB005 Prepare the training and testing data.mp4
41.04 MB005 Prepare the training and testing data_en.vtt
7.79 KB006 Initialize the weights & Calculate the output.mp4
42.73 MB006 Initialize the weights & Calculate the output_en.vtt
9.05 KB007 Accuracy & Error functions.mp4
63.67 MB007 Accuracy & Error functions_en.vtt
12.42 KB008 Gradient of the error function.mp4
39.24 MB008 Gradient of the error function_en.vtt
7.81 KB009 Training the neural network via gradient descent.mp4
58.52 MB009 Training the neural network via gradient descent_en.vtt
11.83 KB010 Using the trained network on the test data.mp4
47.89 MB010 Using the trained network on the test data_en.vtt
7.67 KB03 - Modifying the problem Sign of the sum of two numbers
001 2-Sign-template.ipynb
15.78 KB001 Sign-network.png
246.79 KB001 [Project 2] Complete neural network Sign of the sum of two numbers.mp4
36.20 MB001 [Project 2] Complete neural network Sign of the sum of two numbers_en.vtt
4.32 KB002 2-Sign-template.ipynb
15.78 KB002 Modify input, output & weights.mp4
89.72 MB002 Modify input, output & weights_en.vtt
15.44 KB002 Sign-network.png
246.79 KB003 Add an activation function to the neural network.mp4
57.99 MB003 Add an activation function to the neural network_en.vtt
10.78 KB004 Modify accuracy and error functions.mp4
46.88 MB004 Modify accuracy and error functions_en.vtt
9.09 KB005 Modify gradient of the error function.mp4
60.49 MB005 Modify gradient of the error function_en.vtt
10.91 KB006 Training & Testing the modified neural network.mp4
57.56 MB006 Training & Testing the modified neural network_en.vtt
9.28 KB04 - Same code, different problem Image recognition
001 3-Number-recognition-template.ipynb
73.34 KB001 Digit-network.png
305.44 KB001 [Project 3] Same neural network Applied to recognize hand-written digits.mp4
27.60 MB001 [Project 3] Same neural network Applied to recognize hand-written digits_en.vtt
3.32 KB002 3-Number-recognition-template.ipynb
73.34 KB002 Apply our neural network to the new problem Number recognition.mp4
72.02 MB002 Apply our neural network to the new problem Number recognition_en.vtt
12.28 KB002 Digit-network.png
305.44 KB003 Improve the gradient function.mp4
65.36 MB003 Improve the gradient function_en.vtt
9.84 KB004 Analysis of the trained neural network.mp4
61.51 MB004 Analysis of the trained neural network_en.vtt
11.40 KB05 - Outlook & Goodbye
001 How to improve the network.mp4
32.66 MB001 How to improve the network_en.vtt
6.80 KB002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica.mp4
36.32 MB002 Outlook Pretrained neural networks & Machine learning in Wolfram Mathematica_en.vtt
9.57 KB003 Goodbye!.mp4
24.05 MB003 Goodbye!_en.vtt
1.57 KB06 - [Resources]
001 [Installation] Python and Jupyter Notebook via Anaconda.mp4
42.74 MB001 [Installation] Python and Jupyter Notebook via Anaconda_en.vtt
10.01 KB002 0-Interpolation-template.ipynb
12.02 KB002 1-Addition-template.ipynb
10.88 KB002 2-Sign-template.ipynb
15.78 KB002 3-Number-recognition-template.ipynb
73.34 KB002 Addition-network.png
92.45 KB002 Digit-network.png
305.44 KB002 Sign-network.png
246.79 KB002 Template files.html
0.06 KB003 0-Interpolation.ipynb
37.61 KB003 1-Addition-template.ipynb
10.88 KB003 2-Sign.ipynb
136.70 KB003 3-Number-recognition.ipynb
361.42 KB003 Addition-network.png
92.45 KB003 Digit-network.png
305.44 KB003 Finalized jupyter notebooks.html
0.24 KB003 Sign-network.png
246.79 KBBonus Resources.txt
0.38 KBtracker
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