Udemy Building your own Neural Network from Scratch with Python 2021

Udemy Building your own Neural Network from Scratch with Python 2021

Name	Udemy - Building your own Neural Network from Scratch with Python 2021	DOWNLOAD Copy Link
Total Size	4.5 GB
Total Files	99
Last Seen	2024-10-06 00:09
Hash	8F7603BBC4D6B3BE5A530A598713A5309A929A60

/5. Neural Networks/
3. Training and Optimization.mp4	384.0 MB
1. Modeling.mp4	195.4 MB
1. Modeling.srt	33.7 KB
2. Error Sanctioning.mp4	8.9 MB
2. Error Sanctioning.srt	2.3 KB
3. Training and Optimization.srt	56.9 KB
4. Training and Optimization Practice.mp4	222.9 MB
4. Training and Optimization Practice.srt	42.1 KB
5. Performance Measurement.mp4	23.3 MB
5. Performance Measurement.srt	4.5 KB
6. Validation and Testing.mp4	61.8 MB
6. Validation and Testing.srt	10.6 KB
7. Solving Overfitting and Underfitting.mp4	172.4 MB
7. Solving Overfitting and Underfitting.srt	29.7 KB
8. Shuffling.mp4	6.1 MB
8. Shuffling.srt	1.4 KB
9. Ensembling.mp4	4.7 MB
9. Ensembling.srt	0.8 KB
10. Weight Initialization.mp4	108.2 MB
10. Weight Initialization.srt	19.1 KB
11. Data Imbalance.mp4	28.8 MB
11. Data Imbalance.srt	6.2 KB
12. Learning rate decay.mp4	13.0 MB
12. Learning rate decay.srt	2.9 KB
13. Normalization.mp4	105.7 MB
13. Normalization.srt	20.1 KB
14. Hyperparameter tuning.mp4	15.2 MB
14. Hyperparameter tuning.srt	3.7 KB
15. In Class Exercise.mp4	28.9 MB
15. In Class Exercise.srt	5.0 KB
/1. Introduction/
1. Welcome.mp4	4.0 MB
1. Welcome.srt	2.0 KB
2. General Introduction.mp4	56.6 MB
2. General Introduction.srt	13.1 KB
3. About this Course.mp4	7.6 MB
3. About this Course.srt	2.9 KB
/2. Essential Python Programming/
1. Python Installation.mp4	19.0 MB
1. Python Installation.srt	4.9 KB
2. Variables and Basic Operators.mp4	141.5 MB
2. Variables and Basic Operators.srt	31.7 KB
3. Conditional Statements.mp4	93.9 MB
3. Conditional Statements.srt	19.6 KB
4. Loops.mp4	97.7 MB
4. Loops.srt	25.4 KB
5. Methods.mp4	92.7 MB
5. Methods.srt	24.2 KB
6. Objects and Classes.mp4	62.0 MB
6. Objects and Classes.srt	16.9 KB
7. Operator Overloading.mp4	55.5 MB
7. Operator Overloading.srt	13.4 KB
8. Method Types.mp4	50.7 MB
8. Method Types.srt	10.7 KB
9. Inheritance.mp4	60.1 MB
9. Inheritance.srt	12.4 KB
10. Encapsulation.mp4	12.1 MB
10. Encapsulation.srt	2.4 KB
11. Polymorphism.mp4	14.1 MB
11. Polymorphism.srt	2.9 KB
12. Decorators.mp4	95.2 MB
12. Decorators.srt	20.3 KB
13. Generators.mp4	48.8 MB
13. Generators.srt	10.2 KB
14. Numpy Package.mp4	218.1 MB
14. Numpy Package.srt	57.1 KB
15. Introduction to Matplotlib.mp4	22.6 MB
15. Introduction to Matplotlib.srt	5.2 KB
/3. Introduction to Machine Learning/
1. Task - Machine Learning Development Life Cycle.mp4	84.2 MB
1. Task - Machine Learning Development Life Cycle.srt	16.5 KB
2. Data - Machine Learning Development Life Cycle.mp4	86.7 MB
2. Data - Machine Learning Development Life Cycle.srt	18.7 KB
3. Model - Machine Learning Development Life Cycle.mp4	103.4 MB
3. Model - Machine Learning Development Life Cycle.srt	22.2 KB
4. Error Sanctioning - Machine Learning Development Life Cycle.mp4	187.7 MB
4. Error Sanctioning - Machine Learning Development Life Cycle.srt	33.8 KB
5. Linear Regression.mp4	252.7 MB
5. Linear Regression.srt	52.3 KB
6. Logistic Regression.mp4	240.6 MB
6. Logistic Regression.srt	41.0 KB
7. Linear Regression Practice.mp4	136.5 MB
7. Linear Regression Practice.srt	30.3 KB
8. Logistic Regression Practice.mp4	76.0 MB
8. Logistic Regression Practice.srt	16.6 KB
9. Optimization.mp4	133.1 MB
9. Optimization.srt	24.6 KB
10. Performance Measurement.mp4	220.4 MB
10. Performance Measurement.srt	43.2 KB
11. Validation and Testing.mp4	44.6 MB
11. Validation and Testing.srt	10.3 KB
/4. Softmax Regression/
1. Data.mp4	51.0 MB
1. Data.srt	6.4 KB
2. Modeling.mp4	38.1 MB
2. Modeling.srt	8.4 KB
3. Error Sanctioning.mp4	49.4 MB
3. Error Sanctioning.srt	11.6 KB
4. Training and Optimization.mp4	217.1 MB
4. Training and Optimization.srt	42.1 KB
5. Performance Measurement.mp4	65.6 MB
5. Performance Measurement.srt	11.2 KB
/
Readme.txt	0.1 KB
Total files 99