[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python

文件列表

• 1. Welcome/1. Introduction and Outline.mp46.1 MB
• 1. Welcome/1. Introduction and Outline.vtt6.2 KB
• 1. Welcome/2. Where does this course fit into your deep learning studies.mp454.1 MB
• 1. Welcome/2. Where does this course fit into your deep learning studies.vtt14.3 KB
• 1. Welcome/3. Where to get the code.mp423.4 MB
• 1. Welcome/3. Where to get the code.vtt5.7 KB
• 1. Welcome/4. How to Succeed in this Course.mp417.4 MB
• 1. Welcome/4. How to Succeed in this Course.vtt3.7 KB
• 10. Appendix/1. What is the Appendix.mp45.5 MB
• 10. Appendix/1. What is the Appendix.vtt3.4 KB
• 10. Appendix/10. How to Uncompress a .tar.gz file.mp45.4 MB
• 10. Appendix/10. How to Uncompress a .tar.gz file.vtt3.9 KB
• 10. Appendix/11. BONUS Where to get Udemy coupons and FREE deep learning material.mp44.0 MB
• 10. Appendix/11. BONUS Where to get Udemy coupons and FREE deep learning material.vtt3.3 KB
• 10. Appendix/12. Python 2 vs Python 3.mp47.8 MB
• 10. Appendix/12. Python 2 vs Python 3.vtt5.9 KB
• 10. Appendix/13. Where does this course fit into your deep learning studies (Old Version).mp48.5 MB
• 10. Appendix/13. Where does this course fit into your deep learning studies (Old Version).vtt7.4 KB
• 10. Appendix/14. What order should I take your courses in (part 1).mp429.3 MB
• 10. Appendix/14. What order should I take your courses in (part 1).vtt15.2 KB
• 10. Appendix/15. What order should I take your courses in (part 2).mp437.6 MB
• 10. Appendix/15. What order should I take your courses in (part 2).vtt22.3 KB
• 10. Appendix/2. What's the difference between neural networks and deep learning.mp414.8 MB
• 10. Appendix/2. What's the difference between neural networks and deep learning.vtt9.7 KB
• 10. Appendix/3. Windows-Focused Environment Setup 2018.mp4186.4 MB
• 10. Appendix/3. Windows-Focused Environment Setup 2018.vtt18.9 KB
• 10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.9 MB
• 10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt14.0 KB
• 10. Appendix/5. How to Code by Yourself (part 1).mp424.5 MB
• 10. Appendix/5. How to Code by Yourself (part 1).vtt21.3 KB
• 10. Appendix/6. How to Code by Yourself (part 2).mp414.8 MB
• 10. Appendix/6. How to Code by Yourself (part 2).vtt12.4 KB
• 10. Appendix/7. How to Succeed in this Course (Long Version).mp413.0 MB
• 10. Appendix/7. How to Succeed in this Course (Long Version).vtt13.7 KB
• 10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp439.0 MB
• 10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt29.9 KB
• 10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp478.3 MB
• 10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt13.2 KB
• 2. Review/1. Review Section Introduction.mp412.5 MB
• 2. Review/1. Review Section Introduction.vtt2.6 KB
• 2. Review/2. What does machine learning do.mp425.6 MB
• 2. Review/2. What does machine learning do.vtt7.2 KB
• 2. Review/3. Neuron Predictions.mp424.5 MB
• 2. Review/3. Neuron Predictions.vtt5.6 KB
• 2. Review/4. Neuron Training.mp438.5 MB
• 2. Review/4. Neuron Training.vtt10.9 KB
• 2. Review/5. Deep Learning Readiness Test.mp48.6 MB
• 2. Review/5. Deep Learning Readiness Test.vtt7.5 KB
• 2. Review/6. Review Section Summary.mp414.0 MB
• 2. Review/6. Review Section Summary.vtt4.9 KB
• 3. Preliminaries From Neurons to Neural Networks/1. Neural Networks with No Math.mp47.3 MB
• 3. Preliminaries From Neurons to Neural Networks/1. Neural Networks with No Math.vtt6.5 KB
• 3. Preliminaries From Neurons to Neural Networks/2. Introduction to the E-Commerce Course Project.mp414.8 MB
• 3. Preliminaries From Neurons to Neural Networks/2. Introduction to the E-Commerce Course Project.vtt13.2 KB
• 4. Classifying more than 2 things at a time/1. Prediction Section Introduction and Outline.mp49.0 MB
• 4. Classifying more than 2 things at a time/1. Prediction Section Introduction and Outline.vtt7.7 KB
• 4. Classifying more than 2 things at a time/10. Building an entire feedforward neural network in Python.mp413.9 MB
• 4. Classifying more than 2 things at a time/10. Building an entire feedforward neural network in Python.vtt5.1 KB
• 4. Classifying more than 2 things at a time/11. E-Commerce Course Project Pre-Processing the Data.mp411.2 MB
• 4. Classifying more than 2 things at a time/11. E-Commerce Course Project Pre-Processing the Data.vtt5.3 KB
• 4. Classifying more than 2 things at a time/12. E-Commerce Course Project Making Predictions.mp47.6 MB
• 4. Classifying more than 2 things at a time/12. E-Commerce Course Project Making Predictions.vtt3.5 KB
• 4. Classifying more than 2 things at a time/13. Prediction Quizzes.mp45.1 MB
• 4. Classifying more than 2 things at a time/13. Prediction Quizzes.vtt4.2 KB
• 4. Classifying more than 2 things at a time/14. Prediction Section Summary.mp42.8 MB
• 4. Classifying more than 2 things at a time/14. Prediction Section Summary.vtt2.6 KB
• 4. Classifying more than 2 things at a time/2. From Logistic Regression to Neural Networks.mp48.6 MB
• 4. Classifying more than 2 things at a time/2. From Logistic Regression to Neural Networks.vtt6.9 KB
• 4. Classifying more than 2 things at a time/3. Interpreting the Weights of a Neural Network.mp412.5 MB
• 4. Classifying more than 2 things at a time/3. Interpreting the Weights of a Neural Network.vtt9.7 KB
• 4. Classifying more than 2 things at a time/4. Softmax.mp44.6 MB
• 4. Classifying more than 2 things at a time/4. Softmax.vtt3.9 KB
• 4. Classifying more than 2 things at a time/5. Sigmoid vs. Softmax.mp42.4 MB
• 4. Classifying more than 2 things at a time/5. Sigmoid vs. Softmax.vtt1.8 KB
• 4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).mp430.3 MB
• 4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).vtt26.5 KB
• 4. Classifying more than 2 things at a time/7. Feedforward in Slow-Mo (part 2).mp416.7 MB
• 4. Classifying more than 2 things at a time/7. Feedforward in Slow-Mo (part 2).vtt14.3 KB
• 4. Classifying more than 2 things at a time/8. Where to get the code for this course.mp43.0 MB
• 4. Classifying more than 2 things at a time/8. Where to get the code for this course.vtt2.0 KB
• 4. Classifying more than 2 things at a time/9. Softmax in Code.mp47.8 MB
• 4. Classifying more than 2 things at a time/9. Softmax in Code.vtt3.7 KB
• 5. Training a neural network/1. Training Section Introduction and Outline.mp44.4 MB
• 5. Training a neural network/1. Training Section Introduction and Outline.vtt4.0 KB
• 5. Training a neural network/10. E-Commerce Course Project Training Logistic Regression with Softmax.mp420.3 MB
• 5. Training a neural network/10. E-Commerce Course Project Training Logistic Regression with Softmax.vtt6.5 KB
• 5. Training a neural network/11. E-Commerce Course Project Training a Neural Network.mp415.5 MB
• 5. Training a neural network/11. E-Commerce Course Project Training a Neural Network.vtt4.7 KB
• 5. Training a neural network/12. Training Quiz.mp48.3 MB
• 5. Training a neural network/12. Training Quiz.vtt6.6 KB
• 5. Training a neural network/13. Training Section Summary.mp44.1 MB
• 5. Training a neural network/13. Training Section Summary.vtt3.7 KB
• 5. Training a neural network/2. What do all these symbols and letters mean.mp414.6 MB
• 5. Training a neural network/2. What do all these symbols and letters mean.vtt13.4 KB
• 5. Training a neural network/3. What does it mean to train a neural network.mp49.7 MB
• 5. Training a neural network/3. What does it mean to train a neural network.vtt9.0 KB
• 5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp437.3 MB
• 5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.vtt9.3 KB
• 5. Training a neural network/5. Backpropagation Intro.mp419.1 MB
• 5. Training a neural network/5. Backpropagation Intro.vtt7.8 KB
• 5. Training a neural network/6. Backpropagation - what does the weight update depend on.mp410.1 MB
• 5. Training a neural network/6. Backpropagation - what does the weight update depend on.vtt3.3 KB
• 5. Training a neural network/7. Backpropagation - recursiveness.mp411.2 MB
• 5. Training a neural network/7. Backpropagation - recursiveness.vtt2.2 KB
• 5. Training a neural network/8. Backpropagation in code.mp446.3 MB
• 5. Training a neural network/8. Backpropagation in code.vtt13.2 KB
• 5. Training a neural network/9. The WRONG Way to Learn Backpropagation.mp46.8 MB
• 5. Training a neural network/9. The WRONG Way to Learn Backpropagation.vtt5.4 KB
• 6. Practical Machine Learning/1. Practical Issues Section Introduction and Outline.mp42.7 MB
• 6. Practical Machine Learning/1. Practical Issues Section Introduction and Outline.vtt2.3 KB
• 6. Practical Machine Learning/2. Donut and XOR Review.mp41.8 MB
• 6. Practical Machine Learning/2. Donut and XOR Review.vtt1.5 KB
• 6. Practical Machine Learning/3. Donut and XOR Revisited.mp414.0 MB
• 6. Practical Machine Learning/3. Donut and XOR Revisited.vtt4.2 KB
• 6. Practical Machine Learning/4. Neural Networks for Regression.mp425.4 MB
• 6. Practical Machine Learning/4. Neural Networks for Regression.vtt12.3 KB
• 6. Practical Machine Learning/5. Common nonlinearities and their derivatives.mp42.4 MB
• 6. Practical Machine Learning/5. Common nonlinearities and their derivatives.vtt1.8 KB
• 6. Practical Machine Learning/6. Practical Considerations for Choosing Activation Functions.mp412.4 MB
• 6. Practical Machine Learning/6. Practical Considerations for Choosing Activation Functions.vtt10.1 KB
• 6. Practical Machine Learning/7. Hyperparameters and Cross-Validation.mp47.0 MB
• 6. Practical Machine Learning/7. Hyperparameters and Cross-Validation.vtt6.2 KB
• 6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.mp47.8 MB
• 6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.vtt5.5 KB
• 6. Practical Machine Learning/9. Practical Issues Section Summary.mp49.6 MB
• 6. Practical Machine Learning/9. Practical Issues Section Summary.vtt8.8 KB
• 7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.mp415.9 MB
• 7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.vtt7.3 KB
• 7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.mp443.3 MB
• 7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.vtt9.3 KB
• 7. TensorFlow, exercises, practice, and what to learn next/3. Where to go from here.mp46.1 MB
• 7. TensorFlow, exercises, practice, and what to learn next/3. Where to go from here.vtt5.6 KB
• 7. TensorFlow, exercises, practice, and what to learn next/4. You know more than you think you know.mp48.2 MB
• 7. TensorFlow, exercises, practice, and what to learn next/4. You know more than you think you know.vtt6.9 KB
• 7. TensorFlow, exercises, practice, and what to learn next/5. How to get good at deep learning + exercises.mp49.5 MB
• 7. TensorFlow, exercises, practice, and what to learn next/5. How to get good at deep learning + exercises.vtt7.5 KB
• 7. TensorFlow, exercises, practice, and what to learn next/6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp414.1 MB
• 7. TensorFlow, exercises, practice, and what to learn next/6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.vtt11.6 KB
• 8. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp49.8 MB
• 8. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.vtt6.1 KB
• 8. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp421.4 MB
• 8. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.vtt15.7 KB
• 8. Project Facial Expression Recognition/3. The class imbalance problem.mp410.1 MB
• 8. Project Facial Expression Recognition/3. The class imbalance problem.vtt7.4 KB
• 8. Project Facial Expression Recognition/4. Utilities walkthrough.mp413.5 MB
• 8. Project Facial Expression Recognition/4. Utilities walkthrough.vtt5.4 KB
• 8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).mp425.2 MB
• 8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).vtt8.8 KB
• 8. Project Facial Expression Recognition/6. Facial Expression Recognition in Code (Logistic Regression Softmax).mp419.8 MB
• 8. Project Facial Expression Recognition/6. Facial Expression Recognition in Code (Logistic Regression Softmax).vtt6.8 KB
• 8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).mp423.5 MB
• 8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).vtt8.6 KB
• 8. Project Facial Expression Recognition/8. Facial Expression Recognition Project Summary.mp42.9 MB
• 8. Project Facial Expression Recognition/8. Facial Expression Recognition Project Summary.vtt1.6 KB
• 9. Backpropagation Supplementary Lectures/1. Backpropagation Supplementary Lectures Introduction.mp41.7 MB
• 9. Backpropagation Supplementary Lectures/1. Backpropagation Supplementary Lectures Introduction.vtt1.4 KB
• 9. Backpropagation Supplementary Lectures/2. Why Learn the Ins and Outs of Backpropagation.mp415.6 MB
• 9. Backpropagation Supplementary Lectures/2. Why Learn the Ins and Outs of Backpropagation.vtt11.6 KB
• 9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.mp422.8 MB
• 9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.vtt5.2 KB
• 9. Backpropagation Supplementary Lectures/4. Help with Softmax Derivative.mp46.3 MB
• 9. Backpropagation Supplementary Lectures/4. Help with Softmax Derivative.vtt4.9 KB
• 9. Backpropagation Supplementary Lectures/5. Backpropagation with Softmax Troubleshooting.mp418.2 MB
• 9. Backpropagation Supplementary Lectures/5. Backpropagation with Softmax Troubleshooting.vtt15.0 KB
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