Udemy - Building your own Neural Network from Scratch with Python 2021

Creation Time	Jan. 6, 2025, 9:22 a.m.
Last Access Time	Jan. 6, 2025, 9:22 a.m.
File Size	4.2 GB
Keywords	Building own from Network Neural Python Scratch - Udemy 2021 with your
Total Requests	1
Total Files	99
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5. Neural Networks/3. Training and Optimization.mp4 366.2 MB
3. Introduction to Machine Learning/5. Linear Regression.mp4 241.0 MB
3. Introduction to Machine Learning/6. Logistic Regression.mp4 229.4 MB
5. Neural Networks/4. Training and Optimization Practice.mp4 212.6 MB
3. Introduction to Machine Learning/10. Performance Measurement.mp4 210.2 MB
2. Essential Python Programming/14. Numpy Package.mp4 208.0 MB
4. Softmax Regression/4. Training and Optimization.mp4 207.0 MB
5. Neural Networks/1. Modeling.mp4 186.3 MB
3. Introduction to Machine Learning/4. Error Sanctioning - Machine Learning Development Life Cycle.mp4 179.0 MB
5. Neural Networks/7. Solving Overfitting and Underfitting.mp4 164.4 MB
2. Essential Python Programming/2. Variables and Basic Operators.mp4 134.9 MB
3. Introduction to Machine Learning/7. Linear Regression Practice.mp4 130.2 MB
3. Introduction to Machine Learning/9. Optimization.mp4 126.9 MB
5. Neural Networks/10. Weight Initialization.mp4 103.2 MB
5. Neural Networks/13. Normalization.mp4 100.8 MB
3. Introduction to Machine Learning/3. Model - Machine Learning Development Life Cycle.mp4 98.6 MB
2. Essential Python Programming/4. Loops.mp4 93.2 MB
2. Essential Python Programming/12. Decorators.mp4 90.7 MB
2. Essential Python Programming/3. Conditional Statements.mp4 89.6 MB
2. Essential Python Programming/5. Methods.mp4 88.4 MB
3. Introduction to Machine Learning/2. Data - Machine Learning Development Life Cycle.mp4 82.7 MB
3. Introduction to Machine Learning/1. Task - Machine Learning Development Life Cycle.mp4 80.3 MB
3. Introduction to Machine Learning/8. Logistic Regression Practice.mp4 72.5 MB
4. Softmax Regression/5. Performance Measurement.mp4 62.5 MB
2. Essential Python Programming/6. Objects and Classes.mp4 59.1 MB
5. Neural Networks/6. Validation and Testing.mp4 59.0 MB
2. Essential Python Programming/9. Inheritance.mp4 57.3 MB
1. Introduction/2. General Introduction.mp4 54.0 MB
2. Essential Python Programming/7. Operator Overloading.mp4 52.9 MB
4. Softmax Regression/1. Data.mp4 48.6 MB
2. Essential Python Programming/8. Method Types.mp4 48.3 MB
4. Softmax Regression/3. Error Sanctioning.mp4 47.1 MB
2. Essential Python Programming/13. Generators.mp4 46.6 MB
3. Introduction to Machine Learning/11. Validation and Testing.mp4 42.6 MB
4. Softmax Regression/2. Modeling.mp4 36.3 MB
5. Neural Networks/15. In Class Exercise.mp4 27.6 MB
5. Neural Networks/11. Data Imbalance.mp4 27.4 MB
5. Neural Networks/5. Performance Measurement.mp4 22.2 MB
2. Essential Python Programming/15. Introduction to Matplotlib.mp4 21.5 MB
2. Essential Python Programming/1. Python Installation.mp4 18.1 MB
5. Neural Networks/14. Hyperparameter tuning.mp4 14.5 MB
2. Essential Python Programming/11. Polymorphism.mp4 13.4 MB
5. Neural Networks/12. Learning rate decay.mp4 12.4 MB
2. Essential Python Programming/10. Encapsulation.mp4 11.6 MB
5. Neural Networks/2. Error Sanctioning.mp4 8.5 MB
1. Introduction/3. About this Course.mp4 7.3 MB
5. Neural Networks/8. Shuffling.mp4 5.8 MB
5. Neural Networks/9. Ensembling.mp4 4.5 MB
1. Introduction/1. Welcome.mp4 3.8 MB
2. Essential Python Programming/14. Numpy Package.srt 55.8 KB
5. Neural Networks/3. Training and Optimization.srt 55.6 KB
3. Introduction to Machine Learning/5. Linear Regression.srt 51.0 KB
3. Introduction to Machine Learning/10. Performance Measurement.srt 42.2 KB
5. Neural Networks/4. Training and Optimization Practice.srt 41.1 KB
4. Softmax Regression/4. Training and Optimization.srt 41.1 KB
3. Introduction to Machine Learning/6. Logistic Regression.srt 40.0 KB
3. Introduction to Machine Learning/4. Error Sanctioning - Machine Learning Development Life Cycle.srt 33.0 KB
5. Neural Networks/1. Modeling.srt 32.9 KB
2. Essential Python Programming/2. Variables and Basic Operators.srt 31.0 KB
3. Introduction to Machine Learning/7. Linear Regression Practice.srt 29.5 KB
5. Neural Networks/7. Solving Overfitting and Underfitting.srt 29.0 KB
2. Essential Python Programming/4. Loops.srt 24.8 KB
3. Introduction to Machine Learning/9. Optimization.srt 24.0 KB
2. Essential Python Programming/5. Methods.srt 23.6 KB
3. Introduction to Machine Learning/3. Model - Machine Learning Development Life Cycle.srt 21.7 KB
2. Essential Python Programming/12. Decorators.srt 19.8 KB
5. Neural Networks/13. Normalization.srt 19.6 KB
2. Essential Python Programming/3. Conditional Statements.srt 19.1 KB
5. Neural Networks/10. Weight Initialization.srt 18.7 KB
3. Introduction to Machine Learning/2. Data - Machine Learning Development Life Cycle.srt 18.3 KB
2. Essential Python Programming/6. Objects and Classes.srt 16.5 KB
3. Introduction to Machine Learning/8. Logistic Regression Practice.srt 16.2 KB
3. Introduction to Machine Learning/1. Task - Machine Learning Development Life Cycle.srt 16.1 KB
2. Essential Python Programming/7. Operator Overloading.srt 13.0 KB
1. Introduction/2. General Introduction.srt 12.8 KB
2. Essential Python Programming/9. Inheritance.srt 12.1 KB
4. Softmax Regression/3. Error Sanctioning.srt 11.3 KB
4. Softmax Regression/5. Performance Measurement.srt 10.9 KB
2. Essential Python Programming/8. Method Types.srt 10.4 KB
5. Neural Networks/6. Validation and Testing.srt 10.3 KB
3. Introduction to Machine Learning/11. Validation and Testing.srt 10.1 KB
2. Essential Python Programming/13. Generators.srt 9.9 KB
4. Softmax Regression/2. Modeling.srt 8.2 KB
4. Softmax Regression/1. Data.srt 6.3 KB
5. Neural Networks/11. Data Imbalance.srt 6.0 KB
2. Essential Python Programming/15. Introduction to Matplotlib.srt 5.1 KB
5. Neural Networks/15. In Class Exercise.srt 4.9 KB
2. Essential Python Programming/1. Python Installation.srt 4.8 KB
5. Neural Networks/5. Performance Measurement.srt 4.4 KB
5. Neural Networks/14. Hyperparameter tuning.srt 3.6 KB
5. Neural Networks/12. Learning rate decay.srt 2.8 KB
1. Introduction/3. About this Course.srt 2.8 KB
2. Essential Python Programming/11. Polymorphism.srt 2.8 KB
2. Essential Python Programming/10. Encapsulation.srt 2.4 KB
5. Neural Networks/2. Error Sanctioning.srt 2.3 KB
1. Introduction/1. Welcome.srt 2.0 KB
5. Neural Networks/8. Shuffling.srt 1.4 KB
5. Neural Networks/9. Ensembling.srt 800 bytes
Readme.txt 147 bytes

Udemy - Building your own Neural Network from Scratch with Python 2021

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