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

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  • 10. Appendix/3. Windows-Focused Environment Setup 2018.mp4 186.36 MB
    10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
    1. Welcome/2. Where does this course fit into your deep learning studies.mp4 54.08 MB
    5. Training a neural network/8. Backpropagation in code.mp4 46.34 MB
    10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
    7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.mp4 43.25 MB
    10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
    2. Review/4. Neuron Training.mp4 38.53 MB
    10. Appendix/15. What order should I take your courses in (part 2).mp4 37.62 MB
    5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp4 37.32 MB
    4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).mp4 30.28 MB
    10. Appendix/14. What order should I take your courses in (part 1).mp4 29.33 MB
    2. Review/2. What does machine learning do.mp4 25.63 MB
    6. Practical Machine Learning/4. Neural Networks for Regression.mp4 25.38 MB
    8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).mp4 25.19 MB
    10. Appendix/5. How to Code by Yourself (part 1).mp4 24.53 MB
    2. Review/3. Neuron Predictions.mp4 24.46 MB
    8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).mp4 23.48 MB
    1. Welcome/3. Where to get the code.mp4 23.37 MB
    9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.mp4 22.84 MB
    8. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 21.43 MB
    5. Training a neural network/10. E-Commerce Course Project Training Logistic Regression with Softmax.mp4 20.25 MB
    8. Project Facial Expression Recognition/6. Facial Expression Recognition in Code (Logistic Regression Softmax).mp4 19.76 MB
    5. Training a neural network/5. Backpropagation Intro.mp4 19.1 MB
    9. Backpropagation Supplementary Lectures/5. Backpropagation with Softmax Troubleshooting.mp4 18.15 MB
    1. Welcome/4. How to Succeed in this Course.mp4 17.43 MB
    4. Classifying more than 2 things at a time/7. Feedforward in Slow-Mo (part 2).mp4 16.69 MB
    7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.mp4 15.9 MB
    9. Backpropagation Supplementary Lectures/2. Why Learn the Ins and Outs of Backpropagation.mp4 15.63 MB
    5. Training a neural network/11. E-Commerce Course Project Training a Neural Network.mp4 15.47 MB
    10. Appendix/6. How to Code by Yourself (part 2).mp4 14.8 MB
    3. Preliminaries From Neurons to Neural Networks/2. Introduction to the E-Commerce Course Project.mp4 14.8 MB
    10. Appendix/2. What's the difference between neural networks and deep learning.mp4 14.77 MB
    5. Training a neural network/2. What do all these symbols and letters mean.mp4 14.57 MB
    7. TensorFlow, exercises, practice, and what to learn next/6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4 14.1 MB
    2. Review/6. Review Section Summary.mp4 14.02 MB
    6. Practical Machine Learning/3. Donut and XOR Revisited.mp4 13.96 MB
    4. Classifying more than 2 things at a time/10. Building an entire feedforward neural network in Python.mp4 13.87 MB
    8. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 13.48 MB
    10. Appendix/7. How to Succeed in this Course (Long Version).mp4 12.99 MB
    2. Review/1. Review Section Introduction.mp4 12.54 MB
    4. Classifying more than 2 things at a time/3. Interpreting the Weights of a Neural Network.mp4 12.52 MB
    6. Practical Machine Learning/6. Practical Considerations for Choosing Activation Functions.mp4 12.37 MB
    5. Training a neural network/7. Backpropagation - recursiveness.mp4 11.19 MB
    4. Classifying more than 2 things at a time/11. E-Commerce Course Project Pre-Processing the Data.mp4 11.16 MB
    5. Training a neural network/6. Backpropagation - what does the weight update depend on.mp4 10.13 MB
    8. Project Facial Expression Recognition/3. The class imbalance problem.mp4 10.11 MB
    8. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 9.82 MB
    5. Training a neural network/3. What does it mean to train a neural network.mp4 9.74 MB
    6. Practical Machine Learning/9. Practical Issues Section Summary.mp4 9.61 MB
    7. TensorFlow, exercises, practice, and what to learn next/5. How to get good at deep learning + exercises.mp4 9.45 MB
    4. Classifying more than 2 things at a time/1. Prediction Section Introduction and Outline.mp4 8.99 MB
    2. Review/5. Deep Learning Readiness Test.mp4 8.58 MB
    4. Classifying more than 2 things at a time/2. From Logistic Regression to Neural Networks.mp4 8.56 MB
    10. Appendix/13. Where does this course fit into your deep learning studies (Old Version).mp4 8.46 MB
    5. Training a neural network/12. Training Quiz.mp4 8.32 MB
    7. TensorFlow, exercises, practice, and what to learn next/4. You know more than you think you know.mp4 8.23 MB
    10. Appendix/12. Python 2 vs Python 3.mp4 7.84 MB
    4. Classifying more than 2 things at a time/9. Softmax in Code.mp4 7.78 MB
    6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.mp4 7.77 MB
    4. Classifying more than 2 things at a time/12. E-Commerce Course Project Making Predictions.mp4 7.59 MB
    3. Preliminaries From Neurons to Neural Networks/1. Neural Networks with No Math.mp4 7.35 MB
    6. Practical Machine Learning/7. Hyperparameters and Cross-Validation.mp4 6.95 MB
    5. Training a neural network/9. The WRONG Way to Learn Backpropagation.mp4 6.85 MB
    9. Backpropagation Supplementary Lectures/4. Help with Softmax Derivative.mp4 6.28 MB
    1. Welcome/1. Introduction and Outline.mp4 6.09 MB
    7. TensorFlow, exercises, practice, and what to learn next/3. Where to go from here.mp4 6.06 MB
    10. Appendix/1. What is the Appendix.mp4 5.45 MB
    10. Appendix/10. How to Uncompress a .tar.gz file.mp4 5.44 MB
    4. Classifying more than 2 things at a time/13. Prediction Quizzes.mp4 5.11 MB
    4. Classifying more than 2 things at a time/4. Softmax.mp4 4.56 MB
    5. Training a neural network/1. Training Section Introduction and Outline.mp4 4.42 MB
    5. Training a neural network/13. Training Section Summary.mp4 4.1 MB
    10. Appendix/11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4.02 MB
    4. Classifying more than 2 things at a time/8. Where to get the code for this course.mp4 2.99 MB
    8. Project Facial Expression Recognition/8. Facial Expression Recognition Project Summary.mp4 2.92 MB
    4. Classifying more than 2 things at a time/14. Prediction Section Summary.mp4 2.82 MB
    6. Practical Machine Learning/1. Practical Issues Section Introduction and Outline.mp4 2.73 MB
    4. Classifying more than 2 things at a time/5. Sigmoid vs. Softmax.mp4 2.41 MB
    6. Practical Machine Learning/5. Common nonlinearities and their derivatives.mp4 2.39 MB
    6. Practical Machine Learning/2. Donut and XOR Review.mp4 1.82 MB
    9. Backpropagation Supplementary Lectures/1. Backpropagation Supplementary Lectures Introduction.mp4 1.73 MB
    10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 29.9 KB
    4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).vtt 26.46 KB
    10. Appendix/15. What order should I take your courses in (part 2).vtt 22.3 KB
    10. Appendix/5. How to Code by Yourself (part 1).vtt 21.32 KB
    10. Appendix/3. Windows-Focused Environment Setup 2018.vtt 18.94 KB
    8. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.vtt 15.75 KB
    10. Appendix/14. What order should I take your courses in (part 1).vtt 15.16 KB
    9. Backpropagation Supplementary Lectures/5. Backpropagation with Softmax Troubleshooting.vtt 15.03 KB
    4. Classifying more than 2 things at a time/7. Feedforward in Slow-Mo (part 2).vtt 14.3 KB
    1. Welcome/2. Where does this course fit into your deep learning studies.vtt 14.26 KB
    10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 13.99 KB
    10. Appendix/7. How to Succeed in this Course (Long Version).vtt 13.74 KB
    5. Training a neural network/2. What do all these symbols and letters mean.vtt 13.45 KB
    10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 13.18 KB
    3. Preliminaries From Neurons to Neural Networks/2. Introduction to the E-Commerce Course Project.vtt 13.17 KB
    5. Training a neural network/8. Backpropagation in code.vtt 13.16 KB
    10. Appendix/6. How to Code by Yourself (part 2).vtt 12.41 KB
    6. Practical Machine Learning/4. Neural Networks for Regression.vtt 12.31 KB
    9. Backpropagation Supplementary Lectures/2. Why Learn the Ins and Outs of Backpropagation.vtt 11.58 KB
    7. TensorFlow, exercises, practice, and what to learn next/6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.vtt 11.55 KB
    2. Review/4. Neuron Training.vtt 10.85 KB
    6. Practical Machine Learning/6. Practical Considerations for Choosing Activation Functions.vtt 10.09 KB
    10. Appendix/2. What's the difference between neural networks and deep learning.vtt 9.72 KB
    4. Classifying more than 2 things at a time/3. Interpreting the Weights of a Neural Network.vtt 9.65 KB
    7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.vtt 9.33 KB
    5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.vtt 9.31 KB
    5. Training a neural network/3. What does it mean to train a neural network.vtt 8.98 KB
    6. Practical Machine Learning/9. Practical Issues Section Summary.vtt 8.79 KB
    8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).vtt 8.75 KB
    8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).vtt 8.61 KB
    5. Training a neural network/5. Backpropagation Intro.vtt 7.78 KB
    4. Classifying more than 2 things at a time/1. Prediction Section Introduction and Outline.vtt 7.71 KB
    2. Review/5. Deep Learning Readiness Test.vtt 7.5 KB
    7. TensorFlow, exercises, practice, and what to learn next/5. How to get good at deep learning + exercises.vtt 7.45 KB
    8. Project Facial Expression Recognition/3. The class imbalance problem.vtt 7.43 KB
    10. Appendix/13. Where does this course fit into your deep learning studies (Old Version).vtt 7.43 KB
    7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.vtt 7.27 KB
    2. Review/2. What does machine learning do.vtt 7.16 KB
    4. Classifying more than 2 things at a time/2. From Logistic Regression to Neural Networks.vtt 6.88 KB
    7. TensorFlow, exercises, practice, and what to learn next/4. You know more than you think you know.vtt 6.86 KB
    8. Project Facial Expression Recognition/6. Facial Expression Recognition in Code (Logistic Regression Softmax).vtt 6.82 KB
    5. Training a neural network/12. Training Quiz.vtt 6.57 KB
    3. Preliminaries From Neurons to Neural Networks/1. Neural Networks with No Math.vtt 6.48 KB
    5. Training a neural network/10. E-Commerce Course Project Training Logistic Regression with Softmax.vtt 6.46 KB
    6. Practical Machine Learning/7. Hyperparameters and Cross-Validation.vtt 6.24 KB
    1. Welcome/1. Introduction and Outline.vtt 6.18 KB
    8. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.vtt 6.11 KB
    10. Appendix/12. Python 2 vs Python 3.vtt 5.9 KB
    1. Welcome/3. Where to get the code.vtt 5.7 KB
    7. TensorFlow, exercises, practice, and what to learn next/3. Where to go from here.vtt 5.62 KB
    2. Review/3. Neuron Predictions.vtt 5.57 KB
    6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.vtt 5.46 KB
    8. Project Facial Expression Recognition/4. Utilities walkthrough.vtt 5.4 KB
    5. Training a neural network/9. The WRONG Way to Learn Backpropagation.vtt 5.35 KB
    4. Classifying more than 2 things at a time/11. E-Commerce Course Project Pre-Processing the Data.vtt 5.28 KB
    9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.vtt 5.22 KB
    4. Classifying more than 2 things at a time/10. Building an entire feedforward neural network in Python.vtt 5.08 KB
    2. Review/6. Review Section Summary.vtt 4.91 KB
    9. Backpropagation Supplementary Lectures/4. Help with Softmax Derivative.vtt 4.9 KB
    5. Training a neural network/11. E-Commerce Course Project Training a Neural Network.vtt 4.66 KB
    6. Practical Machine Learning/3. Donut and XOR Revisited.vtt 4.25 KB
    4. Classifying more than 2 things at a time/13. Prediction Quizzes.vtt 4.17 KB
    5. Training a neural network/1. Training Section Introduction and Outline.vtt 3.98 KB
    10. Appendix/10. How to Uncompress a .tar.gz file.vtt 3.87 KB
    4. Classifying more than 2 things at a time/4. Softmax.vtt 3.87 KB
    5. Training a neural network/13. Training Section Summary.vtt 3.71 KB
    1. Welcome/4. How to Succeed in this Course.vtt 3.69 KB
    4. Classifying more than 2 things at a time/9. Softmax in Code.vtt 3.65 KB
    4. Classifying more than 2 things at a time/12. E-Commerce Course Project Making Predictions.vtt 3.45 KB
    10. Appendix/1. What is the Appendix.vtt 3.38 KB
    10. Appendix/11. BONUS Where to get Udemy coupons and FREE deep learning material.vtt 3.3 KB
    5. Training a neural network/6. Backpropagation - what does the weight update depend on.vtt 3.27 KB
    2. Review/1. Review Section Introduction.vtt 2.61 KB
    4. Classifying more than 2 things at a time/14. Prediction Section Summary.vtt 2.57 KB
    6. Practical Machine Learning/1. Practical Issues Section Introduction and Outline.vtt 2.3 KB
    5. Training a neural network/7. Backpropagation - recursiveness.vtt 2.23 KB
    4. Classifying more than 2 things at a time/8. Where to get the code for this course.vtt 2.04 KB
    6. Practical Machine Learning/5. Common nonlinearities and their derivatives.vtt 1.83 KB
    4. Classifying more than 2 things at a time/5. Sigmoid vs. Softmax.vtt 1.81 KB
    8. Project Facial Expression Recognition/8. Facial Expression Recognition Project Summary.vtt 1.58 KB
    6. Practical Machine Learning/2. Donut and XOR Review.vtt 1.51 KB
    9. Backpropagation Supplementary Lectures/1. Backpropagation Supplementary Lectures Introduction.vtt 1.41 KB
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