| File | Size |
|---|
| 01 Start Here/001 Introduction and Outline.mp4 | 7.52 MB |
| 01 Start Here/002 How to Succeed in this Course.mp4 | 8.78 MB |
| 01 Start Here/003 Review of the classification problem.mp4 | 2.97 MB |
| 01 Start Here/004 Introduction to the E-Commerce Course Project.mp4 | 14.79 MB |
| 01 Start Here/quizzes/001 Easy first quiz.html | 2.43 kB |
| 02 Basics What is linear classification Whats the relation to neural networks/005 Linear Classification.mp4 | 7.54 MB |
| 02 Basics What is linear classification Whats the relation to neural networks/006 Biological inspiration - the neuron.mp4 | 4.17 MB |
| 02 Basics What is linear classification Whats the relation to neural networks/007 How do we calculate the output of a neuron logistic classifier - Theory.mp4 | 7.48 MB |
| 02 Basics What is linear classification Whats the relation to neural networks/008 How do we calculate the output of a neuron logistic classifier - Code.mp4 | 5.82 MB |
| 02 Basics What is linear classification Whats the relation to neural networks/009 E-Commerce Course Project Pre-Processing the Data.mp4 | 11.16 MB |
| 02 Basics What is linear classification Whats the relation to neural networks/010 E-Commerce Course Project Making Predictions.mp4 | 5.70 MB |
| 03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4 | 9.99 MB |
| 03 Solving for the optimal weights/012 What do all these symbols mean X Y N D L J PY1X etc..mp4 | 6.36 MB |
| 03 Solving for the optimal weights/013 The cross-entropy error function - Theory.mp4 | 4.49 MB |
| 03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4 | 9.10 MB |
| 03 Solving for the optimal weights/015 Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4 | 5.27 MB |
| 03 Solving for the optimal weights/016 Maximizing the likelihood.mp4 | 12.67 MB |
| 03 Solving for the optimal weights/017 Updating the weights using gradient descent - Theory.mp4 | 9.35 MB |
| 03 Solving for the optimal weights/018 Updating the weights using gradient descent - Code.mp4 | 7.25 MB |
| 03 Solving for the optimal weights/019 E-Commerce Course Project Training the Logistic Model.mp4 | 17.06 MB |
| 04 Practical concerns/020 Interpreting the Weights.mp4 | 6.34 MB |
| 04 Practical concerns/021 L2 Regularization - Theory.mp4 | 14.70 MB |
| 04 Practical concerns/022 L2 Regularization - Code.mp4 | 4.46 MB |
| 04 Practical concerns/023 L1 Regularization - Theory.mp4 | 4.42 MB |
| 04 Practical concerns/024 L1 Regularization - Code.mp4 | 12.01 MB |
| 04 Practical concerns/025 L1 vs L2 Regularization.mp4 | 4.80 MB |
| 04 Practical concerns/026 The donut problem.mp4 | 24.68 MB |
| 04 Practical concerns/027 The XOR problem.mp4 | 14.20 MB |
| 05 Checkpoint and applications How to make sure you know your stuff/028 BONUS Sentiment Analysis.mp4 | 11.40 MB |
| 05 Checkpoint and applications How to make sure you know your stuff/029 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 | 4.02 MB |
| 05 Checkpoint and applications How to make sure you know your stuff/030 BONUS Exercises how to get good at this.mp4 | 5.26 MB |
| 06 Project Facial Expression Recognition/031 Facial Expression Recognition Problem Description.mp4 | 21.43 MB |
| 06 Project Facial Expression Recognition/032 The class imbalance problem.mp4 | 10.11 MB |
| 06 Project Facial Expression Recognition/033 Utilities walkthrough.mp4 | 13.48 MB |
| 06 Project Facial Expression Recognition/034 Facial Expression Recognition in Code.mp4 | 24.04 MB |
| 07 Appendix/035 Gradient Descent Tutorial.mp4 | 8.43 MB |
| 07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 | 43.92 MB |
| 07 Appendix/037 How to Code by Yourself part 1.mp4 | 24.53 MB |
| 07 Appendix/038 How to Code by Yourself part 2.mp4 | 14.80 MB |
| Udemy Course downloader.txt | 94.00 B |
| udemycoursedownloader.com.url | 132.00 B |
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