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[FreeTutorials.Us] data-science-deep-learning-in-python

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Total Size

757.1 MB

Total Files

58

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0EA15E44267AC451B47828B54D499161C0DFB162

/01 What is a neural network/

001 Introduction and Outline.mp4

6.4 MB

002 Where does this course fit into your deep learning studies.mp4

8.9 MB

003 Deep Learning Readiness Test.mp4

9.0 MB

004 Neural Networks with No Math.mp4

7.7 MB

005 Introduction to the E-Commerce Course Project.mp4

15.5 MB

/02 Classifying more than 2 things at a time/

006 Prediction Section Introduction and Outline.mp4

9.4 MB

007 From Logistic Regression to Neural Networks.mp4

9.0 MB

008 Interpreting the Weights of a Neural Network.mp4

13.1 MB

009 Softmax.mp4

4.8 MB

010 Sigmoid vs. Softmax.mp4

2.5 MB

011 Feedforward in Slow-Mo part 1.mp4

31.8 MB

012 Feedforward in Slow-Mo part 2.mp4

17.5 MB

013 Where to get the code for this course.mp4

3.1 MB

014 Softmax in Code.mp4

8.1 MB

015 Building an entire feedforward neural network in Python.mp4

14.5 MB

016 E-Commerce Course Project Pre-Processing the Data.mp4

11.7 MB

017 E-Commerce Course Project Making Predictions.mp4

7.9 MB

018 Prediction Quizzes.mp4

5.3 MB

019 Prediction Section Summary.mp4

3.0 MB

/03 Training a neural network/

020 Training Section Introduction and Outline.mp4

4.6 MB

021 What do all these symbols and letters mean.mp4

15.3 MB

022 What does it mean to train a neural network.mp4

10.2 MB

023 Backpropagation Intro.mp4

20.0 MB

024 Backpropagation - what does the weight update depend on.mp4

10.6 MB

025 Backpropagation - recursiveness.mp4

11.7 MB

026 Backpropagation in code.mp4

48.6 MB

027 The WRONG Way to Learn Backpropagation.mp4

7.2 MB

028 E-Commerce Course Project Training Logistic Regression with Softmax.mp4

21.2 MB

029 E-Commerce Course Project Training a Neural Network.mp4

16.2 MB

030 Training Quiz.mp4

8.7 MB

031 Training Section Summary.mp4

4.3 MB

/04 Practical Machine Learning/

032 Practical Issues Section Introduction and Outline.mp4

2.9 MB

033 Donut and XOR Review.mp4

1.9 MB

034 Donut and XOR Revisited.mp4

14.6 MB

035 Common nonlinearities and their derivatives.mp4

2.5 MB

036 Hyperparameters and Cross-Validation.mp4

7.3 MB

037 Manually Choosing Learning Rate and Regularization Penalty.mp4

7.4 MB

038 Practical Issues Section Summary.mp4

10.1 MB

/05 TensorFlow exercises practice and what to learn next/

039 TensorFlow plug-and-play example.mp4

16.7 MB

040 Visualizing what a neural network has learned using TensorFlow Playground.mp4

45.3 MB

041 Where to go from here.mp4

6.3 MB

042 You know more than you think you know.mp4

8.6 MB

043 How to get good at deep learning exercises.mp4

9.9 MB

044 Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4

14.8 MB

/06 Project Facial Expression Recognition/

045 Facial Expression Recognition Problem Description.mp4

22.5 MB

046 The class imbalance problem.mp4

10.6 MB

047 Utilities walkthrough.mp4

14.1 MB

048 Facial Expression Recognition in Code Binary Sigmoid.mp4

26.4 MB

049 Facial Expression Recognition in Code Logistic Regression Softmax.mp4

20.7 MB

050 Facial Expression Recognition in Code ANN Softmax.mp4

24.6 MB

/07 Appendix/

051 Gradient Descent Tutorial.mp4

8.8 MB

052 Help with Softmax Derivative.mp4

6.6 MB

053 Backpropagation with Softmax Troubleshooting.mp4

19.0 MB

054 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4

46.0 MB

055 How to Code by Yourself part 1.mp4

25.7 MB

056 How to Code by Yourself part 2.mp4

15.5 MB

/

Freetutorials.us.url

0.1 KB

[FreeTutorials.us].txt

0.1 KB

 

Total files 58


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