Udemy Modern Deep Learning in Python Lazy Programmer Inc | 5B8EDCAE8A913F5782E0EE2336208C67C78C5E7C

Udemy Modern Deep Learning in Python Lazy Programmer Inc

Name	Udemy - Modern Deep Learning in Python [Lazy Programmer Inc.]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.6 GB
Total Files	309
Last Seen
Hash	5B8EDCAE8A913F5782E0EE2336208C67C78C5E7C

/1. Introduction and Outline/
1. Outline - what did you learn previously, and what will you learn in this course.mp4	15.1 MB
.pad/
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1. Introduction and Outline/
1. Outline - what did you learn previously, and what will you learn in this course.vtt	10.0 KB
2. Where does this course fit into your deep learning studies.mp4	6.3 MB
2. Where does this course fit into your deep learning studies.vtt	5.1 KB
10. Transition to the 2nd Half of the Course/
1. Transition to the 2nd Half of the Course.mp4	9.9 MB
1. Transition to the 2nd Half of the Course.vtt	6.0 KB
11. Project Facial Expression Recognition/
1. Facial Expression Recognition Project Introduction.mp4	10.3 MB
1. Facial Expression Recognition Project Introduction.vtt	5.8 KB
2. Facial Expression Recognition Problem Description.mp4	22.5 MB
2. Facial Expression Recognition Problem Description.vtt	14.7 KB
3. The class imbalance problem.mp4	10.6 MB
3. The class imbalance problem.vtt	7.3 KB
4. Utilities walkthrough.mp4	14.1 MB
4. Utilities walkthrough.vtt	5.4 KB
5. Class-Based ANN in Theano.mp4	46.1 MB
5. Class-Based ANN in Theano.vtt	13.7 KB
6. Class-Based ANN in TensorFlow.mp4	39.2 MB
6. Class-Based ANN in TensorFlow.vtt	11.8 KB
7. Facial Expression Recognition Project Summary.mp4	3.0 MB
7. Facial Expression Recognition Project Summary.vtt	1.5 KB
12. Modern Regularization Techniques/
1. Modern Regularization Techniques Section Introduction.mp4	4.5 MB
1. Modern Regularization Techniques Section Introduction.vtt	2.7 KB
2. Dropout Regularization.mp4	23.8 MB
2. Dropout Regularization.vtt	13.0 KB
3. Dropout Intuition.mp4	6.4 MB
3. Dropout Intuition.vtt	4.1 KB
4. Noise Injection.mp4	9.1 MB
4. Noise Injection.vtt	6.3 KB
5. Modern Regularization Techniques Section Summary.mp4	4.1 MB
5. Modern Regularization Techniques Section Summary.vtt	2.4 KB
13. Batch Normalization/
1. Batch Normalization Introduction.mp4	3.7 MB
1. Batch Normalization Introduction.vtt	2.3 KB
2. Exponentially-Smoothed Averages.mp4	7.7 MB
2. Exponentially-Smoothed Averages.vtt	4.9 KB
3. Batch Normalization Theory.mp4	19.5 MB
3. Batch Normalization Theory.vtt	12.7 KB
4. Batch Normalization Tensorflow (part 1).mp4	9.9 MB
4. Batch Normalization Tensorflow (part 1).vtt	6.1 KB
5. Batch Normalization Tensorflow (part 2).mp4	15.6 MB
5. Batch Normalization Tensorflow (part 2).vtt	6.1 KB
6. Batch Normalization Theano (part 1).mp4	8.0 MB
6. Batch Normalization Theano (part 1).vtt	4.9 KB
7. Batch Normalization Theano (part 2).mp4	17.3 MB
7. Batch Normalization Theano (part 2).vtt	7.1 KB
8. Noise Perspective.mp4	3.3 MB
8. Noise Perspective.vtt	2.3 KB
9. Batch Normalization Summary.mp4	2.7 MB
9. Batch Normalization Summary.vtt	1.9 KB
14. Keras/
1. Keras Discussion.mp4	11.8 MB
1. Keras Discussion.vtt	8.2 KB
2. Keras in Code.mp4	15.5 MB
2. Keras in Code.vtt	6.6 KB
3. Keras Functional API.mp4	40.5 MB
3. Keras Functional API.vtt	4.8 KB
15. PyTorch/
1. PyTorch Basics.mp4	122.5 MB
1. PyTorch Basics.vtt	13.2 KB
2. PyTorch Dropout.mp4	34.3 MB
2. PyTorch Dropout.vtt	2.7 KB
3. PyTorch Batch Norm.mp4	35.5 MB
3. PyTorch Batch Norm.vtt	2.7 KB
16. PyTorch, CNTK, and MXNet/
1. PyTorch, CNTK, and MXNet.mp4	1.4 MB
1. PyTorch, CNTK, and MXNet.vtt	0.9 KB
17. Appendix/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.vtt	3.4 KB
10. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
10. Proof that using Jupyter Notebook is the same as not using it.vtt	12.5 KB
11. How to Uncompress a .tar.gz file.mp4	5.7 MB
11. How to Uncompress a .tar.gz file.vtt	3.8 KB
12. Python 2 vs Python 3.mp4	8.2 MB
12. Python 2 vs Python 3.vtt	5.5 KB
13. What order should I take your courses in (part 1).mp4	30.8 MB
13. What order should I take your courses in (part 1).vtt	14.4 KB
14. What order should I take your courses in (part 2).mp4	39.4 MB
14. What order should I take your courses in (part 2).vtt	20.7 KB
2. What's the difference between neural networks and deep learning.mp4	47.3 MB
2. What's the difference between neural networks and deep learning.vtt	9.1 KB
3. Manually Choosing Learning Rate and Regularization Penalty.mp4	8.1 MB
3. Manually Choosing Learning Rate and Regularization Penalty.vtt	5.1 KB
4. Windows-Focused Environment Setup 2018.mp4	195.4 MB
4. Windows-Focused Environment Setup 2018.vtt	17.8 KB
5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.1 MB
5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	12.7 KB
6. How to Succeed in this Course (Long Version).mp4	13.6 MB
6. How to Succeed in this Course (Long Version).vtt	13.2 KB
7. How to Code by Yourself (part 1).mp4	25.7 MB
7. How to Code by Yourself (part 1).vtt	20.3 KB
8. How to Code by Yourself (part 2).mp4	15.5 MB
8. How to Code by Yourself (part 2).vtt	11.9 KB
9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	28.4 KB
2. Review/
1. Review of Basic Concepts.mp4	24.5 MB
1. Review of Basic Concepts.vtt	16.4 KB
2. Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4	11.7 MB
2. Where to get the MNIST dataset and Establishing a Linear Benchmark.vtt	4.3 KB
3. Gradient Descent Full vs Batch vs Stochastic/
1. What are full, batch, and stochastic gradient descent.mp4	6.1 MB
1. What are full, batch, and stochastic gradient descent.vtt	3.6 KB
2. Full vs Batch vs Stochastic Gradient Descent in code.mp4	14.7 MB
2. Full vs Batch vs Stochastic Gradient Descent in code.vtt	6.0 KB
4. Momentum and adaptive learning rates/
1. Using Momentum to Speed Up Training.mp4	11.2 MB
1. Using Momentum to Speed Up Training.vtt	7.0 KB
2. Nesterov Momentum.mp4	11.2 MB
2. Nesterov Momentum.vtt	6.9 KB
3. Momentum in Code.mp4	15.1 MB
3. Momentum in Code.vtt	5.6 KB
4. Variable and adaptive learning rates.mp4	19.8 MB
4. Variable and adaptive learning rates.vtt	13.5 KB
5. Constant learning rate vs. RMSProp in Code.mp4	11.5 MB
5. Constant learning rate vs. RMSProp in Code.vtt	3.9 KB
6. Adam Optimization.mp4	20.3 MB
6. Adam Optimization.vtt	12.2 KB
7. Adam in Code.mp4	14.6 MB
7. Adam in Code.vtt	6.1 KB
5. Choosing Hyperparameters/
1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.mp4	5.3 MB
1. Hyperparameter Optimization Cross-validation, Grid Search, and Random Search.vtt	4.2 KB
2. Sampling Logarithmically.mp4	5.5 MB
2. Sampling Logarithmically.vtt	3.5 KB
3. Grid Search in Code.mp4	14.4 MB
3. Grid Search in Code.vtt	8.3 KB
4. Modifying Grid Search.mp4	2.3 MB
4. Modifying Grid Search.vtt	1.6 KB
5. Random Search in Code.mp4	8.3 MB
5. Random Search in Code.vtt	4.4 KB
6. Weight Initialization/
1. Weight Initialization Section Introduction.mp4	1.6 MB
1. Weight Initialization Section Introduction.vtt	1.1 KB
2. Vanishing and Exploding Gradients.mp4	10.5 MB
2. Vanishing and Exploding Gradients.vtt	7.1 KB
3. Weight Initialization.mp4	14.3 MB
3. Weight Initialization.vtt	9.3 KB
4. Local vs. Global Minima.mp4	5.4 MB
4. Local vs. Global Minima.vtt	3.2 KB
5. Weight Initialization Section Summary.mp4	2.8 MB
5. Weight Initialization Section Summary.vtt	1.9 KB
7. Theano/
1. Theano Basics Variables, Functions, Expressions, Optimization.mp4	20.3 MB
1. Theano Basics Variables, Functions, Expressions, Optimization.vtt	7.2 KB
2. Building a neural network in Theano.mp4	22.8 MB
2. Building a neural network in Theano.vtt	4.1 KB
3. Is Theano Dead.mp4	18.7 MB
3. Is Theano Dead.vtt	11.6 KB
8. TensorFlow/
1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4	17.9 MB
1. TensorFlow Basics Variables, Functions, Expressions, Optimization.vtt	5.8 KB
2. Building a neural network in TensorFlow.mp4	25.0 MB
2. Building a neural network in TensorFlow.vtt	5.5 KB
3. What is a Session (And more).mp4	24.7 MB
3. What is a Session (And more).vtt	16.4 KB
9. GPU Speedup, Homework, and Other Misc Topics/
1. Setting up a GPU Instance on Amazon Web Services.mp4	26.9 MB
1. Setting up a GPU Instance on Amazon Web Services.vtt	4.3 KB
2. Can Big Data be used to Speed Up Backpropagation.mp4	5.5 MB
2. Can Big Data be used to Speed Up Backpropagation.vtt	3.9 KB
3. Exercises and Concepts Still to be Covered.mp4	4.7 MB
3. Exercises and Concepts Still to be Covered.vtt	2.7 KB
4. How to Improve your Theano and Tensorflow Skills.mp4	7.7 MB
4. How to Improve your Theano and Tensorflow Skills.vtt	5.5 KB
5. Theano vs. TensorFlow.mp4	9.6 MB
5. Theano vs. TensorFlow.vtt	7.7 KB

title.jpg	106.8 KB
Total files 309