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

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

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5. Neural Networks/3. Training and Optimization.mp4 374.98 MB
3. Introduction to Machine Learning/5. Linear Regression.mp4 246.75 MB
3. Introduction to Machine Learning/6. Logistic Regression.mp4 234.95 MB
5. Neural Networks/4. Training and Optimization Practice.mp4 217.68 MB
3. Introduction to Machine Learning/10. Performance Measurement.mp4 215.25 MB
2. Essential Python Programming/14. Numpy Package.mp4 212.95 MB
4. Softmax Regression/4. Training and Optimization.mp4 211.99 MB
5. Neural Networks/1. Modeling.mp4 190.77 MB
3. Introduction to Machine Learning/4. Error Sanctioning - Machine Learning Development Life Cycle.mp4 183.26 MB
5. Neural Networks/7. Solving Overfitting and Underfitting.mp4 168.34 MB
2. Essential Python Programming/2. Variables and Basic Operators.mp4 138.17 MB
3. Introduction to Machine Learning/7. Linear Regression Practice.mp4 133.33 MB
3. Introduction to Machine Learning/9. Optimization.mp4 129.96 MB
5. Neural Networks/10. Weight Initialization.mp4 105.68 MB
5. Neural Networks/13. Normalization.mp4 103.25 MB
3. Introduction to Machine Learning/3. Model - Machine Learning Development Life Cycle.mp4 100.94 MB
2. Essential Python Programming/4. Loops.mp4 95.44 MB
2. Essential Python Programming/12. Decorators.mp4 92.93 MB
2. Essential Python Programming/3. Conditional Statements.mp4 91.71 MB
2. Essential Python Programming/5. Methods.mp4 90.56 MB
3. Introduction to Machine Learning/2. Data - Machine Learning Development Life Cycle.mp4 84.69 MB
3. Introduction to Machine Learning/1. Task - Machine Learning Development Life Cycle.mp4 82.24 MB
3. Introduction to Machine Learning/8. Logistic Regression Practice.mp4 74.20 MB
4. Softmax Regression/5. Performance Measurement.mp4 64.05 MB
2. Essential Python Programming/6. Objects and Classes.mp4 60.54 MB
5. Neural Networks/6. Validation and Testing.mp4 60.38 MB
2. Essential Python Programming/9. Inheritance.mp4 58.71 MB
1. Introduction/2. General Introduction.mp4 55.26 MB
2. Essential Python Programming/7. Operator Overloading.mp4 54.15 MB
4. Softmax Regression/1. Data.mp4 49.79 MB
2. Essential Python Programming/8. Method Types.mp4 49.51 MB
4. Softmax Regression/3. Error Sanctioning.mp4 48.24 MB
2. Essential Python Programming/13. Generators.mp4 47.69 MB
3. Introduction to Machine Learning/11. Validation and Testing.mp4 43.59 MB
4. Softmax Regression/2. Modeling.mp4 37.18 MB
5. Neural Networks/15. In Class Exercise.mp4 28.24 MB
5. Neural Networks/11. Data Imbalance.mp4 28.09 MB
5. Neural Networks/5. Performance Measurement.mp4 22.77 MB
2. Essential Python Programming/15. Introduction to Matplotlib.mp4 22.05 MB
2. Essential Python Programming/1. Python Installation.mp4 18.58 MB
5. Neural Networks/14. Hyperparameter tuning.mp4 14.80 MB
2. Essential Python Programming/11. Polymorphism.mp4 13.72 MB
5. Neural Networks/12. Learning rate decay.mp4 12.73 MB
2. Essential Python Programming/10. Encapsulation.mp4 11.86 MB
5. Neural Networks/2. Error Sanctioning.mp4 8.66 MB
1. Introduction/3. About this Course.mp4 7.43 MB
5. Neural Networks/8. Shuffling.mp4 5.93 MB
5. Neural Networks/9. Ensembling.mp4 4.58 MB
1. Introduction/1. Welcome.mp4 3.91 MB
2. Essential Python Programming/14. Numpy Package.srt 57 KB
5. Neural Networks/3. Training and Optimization.srt 56 KB
3. Introduction to Machine Learning/5. Linear Regression.srt 52 KB
3. Introduction to Machine Learning/10. Performance Measurement.srt 43 KB
5. Neural Networks/4. Training and Optimization Practice.srt 42 KB
4. Softmax Regression/4. Training and Optimization.srt 42 KB
3. Introduction to Machine Learning/6. Logistic Regression.srt 40 KB
3. Introduction to Machine Learning/4. Error Sanctioning - Machine Learning Development Life Cycle.srt 33 KB
5. Neural Networks/1. Modeling.srt 33 KB
2. Essential Python Programming/2. Variables and Basic Operators.srt 31 KB
3. Introduction to Machine Learning/7. Linear Regression Practice.srt 30 KB
5. Neural Networks/7. Solving Overfitting and Underfitting.srt 29 KB
2. Essential Python Programming/4. Loops.srt 25 KB
3. Introduction to Machine Learning/9. Optimization.srt 24 KB
2. Essential Python Programming/5. Methods.srt 24 KB
3. Introduction to Machine Learning/3. Model - Machine Learning Development Life Cycle.srt 22 KB
2. Essential Python Programming/12. Decorators.srt 20 KB
5. Neural Networks/13. Normalization.srt 20 KB
2. Essential Python Programming/3. Conditional Statements.srt 19 KB
5. Neural Networks/10. Weight Initialization.srt 19 KB
3. Introduction to Machine Learning/2. Data - Machine Learning Development Life Cycle.srt 18 KB
2. Essential Python Programming/6. Objects and Classes.srt 16 KB
3. Introduction to Machine Learning/8. Logistic Regression Practice.srt 16 KB
3. Introduction to Machine Learning/1. Task - Machine Learning Development Life Cycle.srt 16 KB
2. Essential Python Programming/7. Operator Overloading.srt 13 KB
1. Introduction/2. General Introduction.srt 13 KB
2. Essential Python Programming/9. Inheritance.srt 12 KB
4. Softmax Regression/3. Error Sanctioning.srt 11 KB
4. Softmax Regression/5. Performance Measurement.srt 11 KB
2. Essential Python Programming/8. Method Types.srt 10 KB
5. Neural Networks/6. Validation and Testing.srt 10 KB
3. Introduction to Machine Learning/11. Validation and Testing.srt 10 KB
2. Essential Python Programming/13. Generators.srt 10 KB
4. Softmax Regression/2. Modeling.srt 8 KB
4. Softmax Regression/1. Data.srt 6 KB
5. Neural Networks/11. Data Imbalance.srt 6 KB
2. Essential Python Programming/15. Introduction to Matplotlib.srt 5 KB
5. Neural Networks/15. In Class Exercise.srt 5 KB
2. Essential Python Programming/1. Python Installation.srt 4 KB
5. Neural Networks/5. Performance Measurement.srt 4 KB
5. Neural Networks/14. Hyperparameter tuning.srt 3 KB
5. Neural Networks/12. Learning rate decay.srt 2 KB
1. Introduction/3. About this Course.srt 2 KB
2. Essential Python Programming/11. Polymorphism.srt 2 KB
2. Essential Python Programming/10. Encapsulation.srt 2 KB
5. Neural Networks/2. Error Sanctioning.srt 2 KB
1. Introduction/1. Welcome.srt 2 KB
5. Neural Networks/8. Shuffling.srt 1 KB
5. Neural Networks/9. Ensembling.srt 0 KB
Readme.txt 0 KB
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