FreeCourseLab com Udemy Data Science Deep Learning in Python | BDB8622A384A13B634BDDFF2A728348E3E8F4A7E

FreeCourseLab com Udemy Data Science Deep Learning in Python

Name	[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.5 GB
Total Files	165
Hash	BDB8622A384A13B634BDDFF2A728348E3E8F4A7E

/1. Welcome/
1. Introduction and Outline.mp4	6.4 MB
1. Introduction and Outline.vtt	6.3 KB
2. Where does this course fit into your deep learning studies.mp4	56.7 MB
2. Where does this course fit into your deep learning studies.vtt	14.6 KB
3. Where to get the code.mp4	24.5 MB
3. Where to get the code.vtt	5.8 KB
4. How to Succeed in this Course.mp4	18.3 MB
4. How to Succeed in this Course.vtt	3.8 KB
/10. Appendix/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.vtt	3.5 KB
10. How to Uncompress a .tar.gz file.mp4	5.7 MB
10. How to Uncompress a .tar.gz file.vtt	4.0 KB
11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	4.2 MB
11. BONUS Where to get Udemy coupons and FREE deep learning material.vtt	3.4 KB
12. Python 2 vs Python 3.mp4	8.2 MB
12. Python 2 vs Python 3.vtt	6.0 KB
13. Where does this course fit into your deep learning studies (Old Version).mp4	8.9 MB
13. Where does this course fit into your deep learning studies (Old Version).vtt	7.6 KB
14. What order should I take your courses in (part 1).mp4	30.8 MB
14. What order should I take your courses in (part 1).vtt	15.5 KB
15. What order should I take your courses in (part 2).mp4	39.4 MB
15. What order should I take your courses in (part 2).vtt	22.8 KB
2. What's the difference between neural networks and deep learning.mp4	15.5 MB
2. What's the difference between neural networks and deep learning.vtt	10.0 KB
3. Windows-Focused Environment Setup 2018.mp4	195.4 MB
3. Windows-Focused Environment Setup 2018.vtt	19.4 KB
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.0 MB
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	14.3 KB
5. How to Code by Yourself (part 1).mp4	25.7 MB
5. How to Code by Yourself (part 1).vtt	21.8 KB
6. How to Code by Yourself (part 2).mp4	15.5 MB
6. How to Code by Yourself (part 2).vtt	12.7 KB
7. How to Succeed in this Course (Long Version).mp4	13.6 MB
7. How to Succeed in this Course (Long Version).vtt	14.1 KB
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	30.6 KB
9. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
9. Proof that using Jupyter Notebook is the same as not using it.vtt	13.5 KB
/2. Review/
1. Review Section Introduction.mp4	13.2 MB
1. Review Section Introduction.vtt	2.7 KB
2. What does machine learning do.mp4	26.9 MB
2. What does machine learning do.vtt	7.3 KB
3. Neuron Predictions.mp4	25.6 MB
3. Neuron Predictions.vtt	5.7 KB
4. Neuron Training.mp4	40.4 MB
4. Neuron Training.vtt	11.1 KB
5. Deep Learning Readiness Test.mp4	9.0 MB
5. Deep Learning Readiness Test.vtt	7.7 KB
6. Review Section Summary.mp4	14.7 MB
6. Review Section Summary.vtt	5.0 KB
/3. Preliminaries From Neurons to Neural Networks/
1. Neural Networks with No Math.mp4	7.7 MB
1. Neural Networks with No Math.vtt	6.6 KB
2. Introduction to the E-Commerce Course Project.mp4	15.5 MB
2. Introduction to the E-Commerce Course Project.vtt	13.5 KB
/4. Classifying more than 2 things at a time/
1. Prediction Section Introduction and Outline.mp4	9.4 MB
1. Prediction Section Introduction and Outline.vtt	7.9 KB
10. Building an entire feedforward neural network in Python.mp4	14.5 MB
10. Building an entire feedforward neural network in Python.vtt	5.2 KB
11. E-Commerce Course Project Pre-Processing the Data.mp4	11.7 MB
11. E-Commerce Course Project Pre-Processing the Data.vtt	5.4 KB
12. E-Commerce Course Project Making Predictions.mp4	8.0 MB
12. E-Commerce Course Project Making Predictions.vtt	3.5 KB
13. Prediction Quizzes.mp4	5.4 MB
13. Prediction Quizzes.vtt	4.3 KB
14. Prediction Section Summary.mp4	3.0 MB
14. Prediction Section Summary.vtt	2.6 KB
2. From Logistic Regression to Neural Networks.mp4	9.0 MB
2. From Logistic Regression to Neural Networks.vtt	7.0 KB
3. Interpreting the Weights of a Neural Network.mp4	13.1 MB
3. Interpreting the Weights of a Neural Network.vtt	9.9 KB
4. Softmax.mp4	4.8 MB
4. Softmax.vtt	4.0 KB
5. Sigmoid vs. Softmax.mp4	2.5 MB
5. Sigmoid vs. Softmax.vtt	1.8 KB
6. Feedforward in Slow-Mo (part 1).mp4	31.8 MB
6. Feedforward in Slow-Mo (part 1).vtt	27.1 KB
7. Feedforward in Slow-Mo (part 2).mp4	17.5 MB
7. Feedforward in Slow-Mo (part 2).vtt	14.6 KB
8. Where to get the code for this course.mp4	3.1 MB
8. Where to get the code for this course.vtt	2.1 KB
9. Softmax in Code.mp4	8.2 MB
9. Softmax in Code.vtt	3.7 KB
/5. Training a neural network/
1. Training Section Introduction and Outline.mp4	4.6 MB
1. Training Section Introduction and Outline.vtt	4.1 KB
10. E-Commerce Course Project Training Logistic Regression with Softmax.mp4	21.2 MB
10. E-Commerce Course Project Training Logistic Regression with Softmax.vtt	6.6 KB
11. E-Commerce Course Project Training a Neural Network.mp4	16.2 MB
11. E-Commerce Course Project Training a Neural Network.vtt	4.8 KB
12. Training Quiz.mp4	8.7 MB
12. Training Quiz.vtt	6.7 KB
13. Training Section Summary.mp4	4.3 MB
13. Training Section Summary.vtt	3.8 KB
2. What do all these symbols and letters mean.mp4	15.3 MB
2. What do all these symbols and letters mean.vtt	13.8 KB
3. What does it mean to train a neural network.mp4	10.2 MB
3. What does it mean to train a neural network.vtt	9.2 KB
4. How to Brace Yourself to Learn Backpropagation.mp4	39.1 MB
4. How to Brace Yourself to Learn Backpropagation.vtt	9.5 KB
5. Backpropagation Intro.mp4	20.0 MB
5. Backpropagation Intro.vtt	8.0 KB
6. Backpropagation - what does the weight update depend on.mp4	10.6 MB
6. Backpropagation - what does the weight update depend on.vtt	3.3 KB
7. Backpropagation - recursiveness.mp4	11.7 MB
7. Backpropagation - recursiveness.vtt	2.3 KB
8. Backpropagation in code.mp4	48.6 MB
8. Backpropagation in code.vtt	13.5 KB
9. The WRONG Way to Learn Backpropagation.mp4	7.2 MB
9. The WRONG Way to Learn Backpropagation.vtt	5.5 KB
/6. Practical Machine Learning/
1. Practical Issues Section Introduction and Outline.mp4	2.9 MB
1. Practical Issues Section Introduction and Outline.vtt	2.4 KB
2. Donut and XOR Review.mp4	1.9 MB
2. Donut and XOR Review.vtt	1.5 KB
3. Donut and XOR Revisited.mp4	14.6 MB
3. Donut and XOR Revisited.vtt	4.4 KB
4. Neural Networks for Regression.mp4	26.6 MB
4. Neural Networks for Regression.vtt	12.6 KB
5. Common nonlinearities and their derivatives.mp4	2.5 MB
5. Common nonlinearities and their derivatives.vtt	1.9 KB
6. Practical Considerations for Choosing Activation Functions.mp4	13.0 MB
6. Practical Considerations for Choosing Activation Functions.vtt	10.3 KB
7. Hyperparameters and Cross-Validation.mp4	7.3 MB
7. Hyperparameters and Cross-Validation.vtt	6.4 KB
8. Manually Choosing Learning Rate and Regularization Penalty.mp4	8.1 MB
8. Manually Choosing Learning Rate and Regularization Penalty.vtt	5.6 KB
9. Practical Issues Section Summary.mp4	10.1 MB
9. Practical Issues Section Summary.vtt	9.0 KB
/7. TensorFlow, exercises, practice, and what to learn next/
1. TensorFlow plug-and-play example.mp4	16.7 MB
1. TensorFlow plug-and-play example.vtt	7.4 KB
2. Visualizing what a neural network has learned using TensorFlow Playground.mp4	45.4 MB
2. Visualizing what a neural network has learned using TensorFlow Playground.vtt	9.6 KB
3. Where to go from here.mp4	6.4 MB
3. Where to go from here.vtt	5.8 KB
4. You know more than you think you know.mp4	8.6 MB
4. You know more than you think you know.vtt	7.0 KB
5. How to get good at deep learning + exercises.mp4	9.9 MB
5. How to get good at deep learning + exercises.vtt	7.6 KB
6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4	14.8 MB
6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.vtt	11.8 KB
/8. Project Facial Expression Recognition/
1. Facial Expression Recognition Project Introduction.mp4	10.3 MB
1. Facial Expression Recognition Project Introduction.vtt	6.3 KB
2. Facial Expression Recognition Problem Description.mp4	22.5 MB
2. Facial Expression Recognition Problem Description.vtt	16.1 KB
3. The class imbalance problem.mp4	10.6 MB
3. The class imbalance problem.vtt	7.6 KB
4. Utilities walkthrough.mp4	14.1 MB
4. Utilities walkthrough.vtt	5.5 KB
5. Facial Expression Recognition in Code (Binary Sigmoid).mp4	26.4 MB
5. Facial Expression Recognition in Code (Binary Sigmoid).vtt	9.0 KB
6. Facial Expression Recognition in Code (Logistic Regression Softmax).mp4	20.7 MB
6. Facial Expression Recognition in Code (Logistic Regression Softmax).vtt	7.0 KB
7. Facial Expression Recognition in Code (ANN Softmax).mp4	24.6 MB
7. Facial Expression Recognition in Code (ANN Softmax).vtt	8.8 KB
8. Facial Expression Recognition Project Summary.mp4	3.1 MB
8. Facial Expression Recognition Project Summary.vtt	1.6 KB
/9. Backpropagation Supplementary Lectures/
1. Backpropagation Supplementary Lectures Introduction.mp4	1.8 MB
1. Backpropagation Supplementary Lectures Introduction.vtt	1.4 KB
2. Why Learn the Ins and Outs of Backpropagation.mp4	16.4 MB
2. Why Learn the Ins and Outs of Backpropagation.vtt	11.9 KB
3. Gradient Descent Tutorial.mp4	23.9 MB
3. Gradient Descent Tutorial.vtt	5.3 KB
4. Help with Softmax Derivative.mp4	6.6 MB
4. Help with Softmax Derivative.vtt	5.0 KB
5. Backpropagation with Softmax Troubleshooting.mp4	19.0 MB
5. Backpropagation with Softmax Troubleshooting.vtt	15.4 KB
/
[FreeCourseLab.com].url	0.1 KB
Total files 165