[Udemy] Modern Deep Learning in Python (04.2021)

1. 18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 316.24 MB
2. 9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 241.94 MB
3. 18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 196.64 MB
4. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 139.67 MB
5. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 138.14 MB
6. 2. Review/6. Review Code (pt 2).mp4 129.87 MB
7. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4 113.20 MB
8. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 111.06 MB
9. 9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 104.38 MB
10. 11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 99.38 MB
11. 11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 98.50 MB
12. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 95.84 MB
13. 15. PyTorch/1. PyTorch Basics.mp4 85.88 MB
14. 13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4 78.11 MB
15. 5. Choosing Hyperparameters/3. Grid Search in Code.mp4 70.11 MB
16. 13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4 68.10 MB
17. 7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 66.91 MB
18. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 61.64 MB
19. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 59.02 MB
20. 4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1).mp4 56.49 MB
21. 13. Batch Normalization/3. Batch Normalization Theory.mp4 55.12 MB
22. 4. Momentum and adaptive learning rates/7. Adam Optimization (pt 2).mp4 54.02 MB
23. 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/3. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 1).mp4 53.22 MB
24. 1. Introduction and Outline/1. Introduction and Outline.mp4 53.04 MB
25. 7. Theano/2. Building a neural network in Theano.mp4 51.08 MB
26. 14. Keras/2. Keras in Code.mp4 50.37 MB
27. 12. Modern Regularization Techniques/2. Dropout Regularization.mp4 49.92 MB
28. 1. Introduction and Outline/3. How to Succeed in this Course.mp4 47.66 MB
29. 8. TensorFlow/2. Building a neural network in TensorFlow.mp4 44.48 MB
30. 2. Review/1. Review (pt 1) Neuron Predictions.mp4 41.42 MB
31. 8. TensorFlow/1. TensorFlow Basics Variables, Functions, Expressions, Optimization.mp4 40.09 MB
32. 5. Choosing Hyperparameters/5. Random Search in Code.mp4 39.97 MB
33. 4. Momentum and adaptive learning rates/3. Momentum in Code.mp4 39.06 MB
34. 21. Appendix FAQ Finale/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 38.72 MB
35. 15. PyTorch/3. PyTorch Batch Norm.mp4 37.67 MB
36. 15. PyTorch/2. PyTorch Dropout.mp4 36.65 MB
37. 2. Review/3. Review (pt 3) Artificial Neural Networks.mp4 34.89 MB
38. 11. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 34.63 MB
39. 2. Review/4. Review Exercise Prompt.mp4 32.99 MB
40. 9. GPU Speedup, Homework, and Other Misc Topics/5. How to Improve your Theano and Tensorflow Skills.mp4 32.71 MB
41. 8. TensorFlow/3. What is a Session (And more).mp4 31.86 MB
42. 4. Momentum and adaptive learning rates/8. Adam in Code.mp4 31.21 MB
43. 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4 29.97 MB
44. 14. Keras/3. Keras Functional API.mp4 29.83 MB
45. 17. Deep Learning Review Topics/1. What's the difference between neural networks and deep learning.mp4 27.86 MB
46. 11. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 26.73 MB
47. 2. Review/5. Review Code (pt 1).mp4 26.52 MB
48. 4. Momentum and adaptive learning rates/1. Using Momentum to Speed Up Training.mp4 26.22 MB
49. 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4 25.54 MB
50. 4. Momentum and adaptive learning rates/5. Constant learning rate vs. RMSProp in Code.mp4 24.80 MB