Udemy - The Multilayer Artificial Neural Network Course with Python

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[ DevCourseWeb.com ] Udemy - The Multilayer Artificial Neural Network Course with Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Course Structure.mp4 (10.5 MB)
    • 1. Course Structure.srt (2.1 KB)
    • 2. How to make the most out of this course.mp4 (8.2 MB)
    • 2. How to make the most out of this course.srt (2.8 KB)
    • 3. Tools will be used in this course.mp4 (5.1 MB)
    • 3. Tools will be used in this course.srt (1.9 KB)
    2. Fundamental Neural Network
    • 1. Introduction to Neural Network.mp4 (63.5 MB)
    • 1. Introduction to Neural Network.srt (5.0 KB)
    • 1.1 Neural_Network.ipynb (2.1 KB)
    • 10. Birth Weights project Implementation Part 2.mp4 (70.4 MB)
    • 10. Birth Weights project Implementation Part 2.srt (7.6 KB)
    • 10.1 Birth_weight_project (1).ipynb (8.8 KB)
    • 11. Birth Weights project Implementation Part 3.mp4 (62.4 MB)
    • 11. Birth Weights project Implementation Part 3.srt (7.0 KB)
    • 11.1 Birth_weight_project (1).ipynb (18.8 KB)
    • 12. Birth Weights project Implementation Part 4.mp4 (127.5 MB)
    • 12. Birth Weights project Implementation Part 4.srt (14.6 KB)
    • 13. Birth Weights project Implementation Final Part.mp4 (14.8 MB)
    • 13. Birth Weights project Implementation Final Part.srt (1.6 KB)
    • 13.1 Birth_weight_project (2).ipynb (40.3 KB)
    • 14. How to pick the right activation function.mp4 (108.1 MB)
    • 14. How to pick the right activation function.srt (8.9 KB)
    • 14.1 How_to_Pick_the_right_activation_function.ipynb (3.1 KB)
    • 15. Linear Model improvements Part 1.mp4 (165.5 MB)
    • 15. Linear Model improvements Part 1.srt (19.4 KB)
    • 15.1 improve_model.ipynb (11.3 KB)
    • 16. Linear Model improvements Final Part.mp4 (194.1 MB)
    • 16. Linear Model improvements Final Part.srt (20.2 KB)
    • 16.1 improve_model (1).ipynb (65.6 KB)
    • 2. One layer Neural Network Implementation part 1.mp4 (106.7 MB)
    • 2. One layer Neural Network Implementation part 1.srt (12.7 KB)
    • 2.1 One_hidden_layer_neural_network_Implementation.ipynb (4.8 KB)
    • 3. One layer Neural Network Implementation Final part.mp4 (135.4 MB)
    • 3. One layer Neural Network Implementation Final part.srt (15.5 KB)
    • 3.1 One_hidden_layer_neural_network_Implementation (1).ipynb (39.9 KB)
    • 4. One layer Neural Network further explaination.mp4 (38.9 MB)
    • 4. One layer Neural Network further explaination.srt (3.3 KB)
    • 4.1 One_hidden_layer_neural_network_Implementation (2).ipynb (234.6 KB)
    • 5. Multilayer Neural Network Implementation Part 1.mp4 (77.3 MB)
    • 5. Multilayer Neural Network Implementation Part 1.srt (9.4 KB)
    • 5.1 Different_layers_Implementation.ipynb (4.5 KB)
    • 6. Multilayer Neural Network Implementation Part 2.mp4 (80.9 MB)
    • 6. Multilayer Neural Network Implementation Part 2.srt (9.3 KB)
    • 6.1 Different_layers_Implementation (1).ipynb (9.3 KB)
    • 7. Multilayer Neural Network Implementation Part 3.mp4 (76.8 MB)
    • 7. Multilayer Neural Network Implementation Part 3.srt (10.1 KB)
    • 7.1 Different_layers_Implementation (2).ipynb (13.2 KB)
    • 8. Multilayer Neural Network Implementation Final Part.mp4 (59.5 MB)
    • 8. Multilayer Neural Network Implementation Final Part.srt (6.2 KB)
    • 8.1 Different_layers_Implementation (3).ipynb (18.1 KB)
    • 9. Birth Weights project Implementation Part 1.mp4 (106.5 MB)
    • 9. Birth Weights project Implementation Part 1.srt (13.9 KB)
    • 9.1 Birth_weight_project.ipynb (5.5 KB)
    • 9.2 birth_weight.csv (8.0 KB)
    3. Modelling Neural Network
    • 1. Simple Introduction to Perceptron and its implementation Part 1.mp4 (91.8 MB)
    • 1. Simple Introduction to Perceptron and its implementation Part 1.srt (10.7 KB)
    • 1.1 Introduction_to_Perceptron.ipynb (3.3 KB)
    • 10. Batch Normalization Introduction and implementation.mp4 (174.9 MB)
    • 10. Batch Normalization Introduction and implementation.srt (12.7 KB)
    • 10.1 Introduction_to_batch_normalization.ipynb (110.9 KB)
    • 2. Simple Introduction to Perceptron and its implementation Final Part.mp4 (93.0 MB)
    • 2. Simple Introduction to Perceptron and its implementation Final Part.srt (10.3 KB)
    • 2.1 Introduction_to_Perceptron (1).ipynb (98.9 KB)
    • 3. Introduction to Multilayer Perceptron.mp4 (215.6 MB)
    • 3. Introduction to Multilayer Perceptron.srt (17.1 KB)
    • 3.1 Multilayer_Perceptron_Implementation.ipynb (4.3 KB)
    • 4. Multilayer Perceptron Implementation.mp4 (178.6 MB)
    • 4. Multilayer Perceptron Implementation.srt (17.1 KB)
    • 4.1 Multilayer_Perceptron_Implementation (1).ipynb (75.9 KB)
    • 5. Introduction to overfitting.mp4 (46.7 MB)
    • 5. Introduction to overfitting.srt (4.9 KB)
    • 5.1 Introduction_to_Dropout.ipynb (2.0 KB)
    • 6. Introduction to Dropout.mp4 (128.2 MB)
    • 6. Introduction to Dropout.srt (9.3 KB)
    • 6.1 Introduction_to_dropout (1).ipynb (3.3 KB)
    • 7. Dropout Implementation Part 1.mp4 (115.3 MB)
    • 7. Dropout Implementation Part 1.srt (11.5 KB)
    • 7.1 Introduction_to_dropout (2).ipynb (90.9 KB)
    • 8. Dropout Implementation Part 2.mp4 (97.9 MB)
    • 8. Dropout Implementation Part 2.srt (8.7 KB)
    • 8.1 Introduction_to_dropout (3).ipynb (90.9 KB)
    • 9. Dropout Implementation Final Part.mp4 (119.0 MB)
    • 9. Dropout Implementation Final Part.srt (11.7 KB)
    • 9.1 Introduction_to_dropout (4).ipynb (129.9 KB)
    4. Classifying handwritten digits
    • 1. Introduction and Implementation Part 1.mp4 (110.3 MB)
    • 1. Introduction and Implementation Part 1.srt (15.4 KB)
    • 1.1 Handwritten_Digit_Project_in_multilayer_neural_network.ipynb (79.6 KB)
    • 2. Implementation Part 2.mp4 (172.6 MB)
    • 2. Implementation Part 2.srt (19.1 KB)
    • 2.1 Handwritten_Digit_Project_in_multilayer_neural_network (1).ipynb (84.1 KB)
    • 3. Implementation Part 3.mp4 (164.0 MB)
    • 3. Implementation Part 3.srt (16.8 KB)
    • 3.1 Handwritten_Digit_Project_in_multilayer_neural_network (2).ipynb (92.8 KB)
    • 4. Implementation Part 4.mp4 (119.9 MB)
    • 4. Implementation Part 4.srt (10.8 KB)

Description

The Multilayer Artificial Neural Network Course with Python



https://DevCourseWeb.com

Published 08/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 37 lectures (8h 2m) | Size: 3.63 GB

Back-propagation, feed-forward network, TensorFlow, Batch Normalization, Dropout, Pandas, Numpy, Matplotlib and so on.

What you'll learn
multilayer neural network
Learn to use NumPy for Numerical Data
Learn to use Matplotlib for Python Plotting
Pandas
Neural Networks
Overfitting
Dropout
Batch Normalization
Multilayer Perceptron (MLP)
Apply Neural Networks in practice
Tensorflow

Requirements
Decent Python skills are required



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Udemy - The Multilayer Artificial Neural Network Course with Python

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Download torrent
3.5 GB
seeders:0
leechers:51
Udemy - The Multilayer Artificial Neural Network Course with Python

Torrent hash: 9852016F322D9F7E0B398F95264E5D3E327960DA