| 1. Course Structure.mp4 | 10.5 MB | ||
| 1. Course Structure.srt | 2.1 KB | ||
| 1. Introduction and Implementation Part 1.mp4 | 110.3 MB | ||
| 1. Introduction and Implementation Part 1.srt | 15.4 KB | ||
| 1. Introduction to Neural Network.mp4 | 63.5 MB | ||
| 1. Introduction to Neural Network.srt | 5 KB | ||
| 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. Thank you.mp4 | 23.3 MB | ||
| 1. Thank you.srt | 1.6 KB | ||
| 1.1 Handwritten_Digit_Project_in_multilayer_neural_network.ipynb | 79.6 KB | ||
| 1.1 Introduction_to_Perceptron.ipynb | 3.3 KB | ||
| 1.1 Neural_Network.ipynb | 2.1 KB | ||
| 10. Batch Normalization Introduction and implementation.mp4 | 174.9 MB | ||
| 10. Batch Normalization Introduction and implementation.srt | 12.7 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 | ||
| 10.1 Introduction_to_batch_normalization.ipynb | 110.9 KB | ||
| 11. Birth Weights project Implementation Part 3.mp4 | 62.4 MB | ||
| 11. Birth Weights project Implementation Part 3.srt | 7 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. 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 | ||
| 2. Implementation Part 2.mp4 | 172.6 MB | ||
| 2. Implementation Part 2.srt | 19.1 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. Simple Introduction to Perceptron and its implementation Final Part.mp4 | 93 MB | ||
| 2. Simple Introduction to Perceptron and its implementation Final Part.srt | 10.3 KB | ||
| 2.1 Handwritten_Digit_Project_in_multilayer_neural_network (1).ipynb | 84.1 KB | ||
| 2.1 Introduction_to_Perceptron (1).ipynb | 98.9 KB | ||
| 2.1 One_hidden_layer_neural_network_Implementation.ipynb | 4.8 KB | ||
| 3. Implementation Part 3.mp4 | 164 MB | ||
| 3. Implementation Part 3.srt | 16.8 KB | ||
| 3. Introduction to Multilayer Perceptron.mp4 | 215.6 MB | ||
| 3. Introduction to Multilayer Perceptron.srt | 17.1 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. Tools will be used in this course.mp4 | 5.1 MB | ||
| 3. Tools will be used in this course.srt | 1.9 KB | ||
| 3.1 Handwritten_Digit_Project_in_multilayer_neural_network (2).ipynb | 92.8 KB | ||
| 3.1 Multilayer_Perceptron_Implementation.ipynb | 4.3 KB | ||
| 3.1 One_hidden_layer_neural_network_Implementation (1).ipynb | 39.9 KB | ||
| 4. Implementation Part 4.mp4 | 119.9 MB | ||
| 4. Implementation Part 4.srt | 10.8 KB | ||
| 4. Multilayer Perceptron Implementation.mp4 | 178.6 MB | ||
| 4. Multilayer Perceptron Implementation.srt | 17.1 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 Handwritten_Digit_Project_in_multilayer_neural_network (3).ipynb | 96.9 KB | ||
| 4.1 Multilayer_Perceptron_Implementation (1).ipynb | 75.9 KB | ||
| 4.1 One_hidden_layer_neural_network_Implementation (2).ipynb | 234.6 KB | ||
| 5. Implementation Part 5.mp4 | 117.2 MB | ||
| 5. Implementation Part 5.srt | 14.1 KB | ||
| 5. Introduction to overfitting.mp4 | 46.7 MB | ||
| 5. Introduction to overfitting.srt | 4.9 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 | ||
| 5.1 Handwritten_Digit_Project_in_multilayer_neural_network.ipynb | 105.5 KB | ||
| 5.1 Introduction_to_Dropout.ipynb | 2 KB | ||
| 6. Implementation Part 6.mp4 | 75.5 MB | ||
| 6. Implementation Part 6.srt | 8.5 KB | ||
| 6. Introduction to Dropout.mp4 | 128.2 MB | ||
| 6. Introduction to Dropout.srt | 9.3 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 | ||
| 6.1 Handwritten_Digit_Project_in_multilayer_neural_network (1).ipynb | 140.5 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. Implementation Final Part.mp4 | 68.1 MB | ||
| 7. Implementation Final Part.srt | 7.7 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 | ||
| 7.1 Handwritten_Digit_Project_in_multilayer_neural_network (2).ipynb | 189.2 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. 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 | ||
| 8.1 Introduction_to_dropout (3).ipynb | 90.9 KB | ||
| 9. Birth Weights project Implementation Part 1.mp4 | 106.5 MB | ||
| 9. Birth Weights project Implementation Part 1.srt | 13.9 KB | ||
| 9. Dropout Implementation Final Part.mp4 | 119 MB | ||
| 9. Dropout Implementation Final Part.srt | 11.7 KB | ||
| 9.1 Birth_weight_project.ipynb | 5.5 KB | ||
| 9.1 Introduction_to_dropout (4).ipynb | 129.9 KB | ||
| 9.2 birth_weight.csv | 8 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 109 total files | |||
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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