FreeTutorials Us data science deep learning in python


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Torrent Hash : 0EA15E44267AC451B47828B54D499161C0DFB162
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Torrent Size : 722.02 MB


FreeTutorials Us data science deep learning in python
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Torrent File Content (58 files)


[FreeTutorials.Us] data-science-deep-learning-in-python
    01 What is a neural network
          001 Introduction and Outline.mp4 -
6.08 MB

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

          003 Deep Learning Readiness Test.mp4 -
8.58 MB

          004 Neural Networks with No Math.mp4 -
7.34 MB

          005 Introduction to the E-Commerce Course Project.mp4 -
14.79 MB

    02 Classifying more than 2 things at a time
          006 Prediction Section Introduction and Outline.mp4 -
8.99 MB

          007 From Logistic Regression to Neural Networks.mp4 -
8.56 MB

          008 Interpreting the Weights of a Neural Network.mp4 -
12.52 MB

          009 Softmax.mp4 -
4.56 MB

          010 Sigmoid vs. Softmax.mp4 -
2.41 MB

          011 Feedforward in Slow-Mo part 1.mp4 -
30.28 MB

          012 Feedforward in Slow-Mo part 2.mp4 -
16.69 MB

          013 Where to get the code for this course.mp4 -
2.98 MB

          014 Softmax in Code.mp4 -
7.77 MB

          015 Building an entire feedforward neural network in Python.mp4 -
13.87 MB

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

          017 E-Commerce Course Project Making Predictions.mp4 -
7.58 MB

          018 Prediction Quizzes.mp4 -
5.1 MB

          019 Prediction Section Summary.mp4 -
2.82 MB

    03 Training a neural network
          020 Training Section Introduction and Outline.mp4 -
4.42 MB

          021 What do all these symbols and letters mean.mp4 -
14.57 MB

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

          023 Backpropagation Intro.mp4 -
19.1 MB

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

          025 Backpropagation - recursiveness.mp4 -
11.19 MB

          026 Backpropagation in code.mp4 -
46.34 MB

          027 The WRONG Way to Learn Backpropagation.mp4 -
6.84 MB

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

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

          030 Training Quiz.mp4 -
8.32 MB

          031 Training Section Summary.mp4 -
4.1 MB

    04 Practical Machine Learning
          032 Practical Issues Section Introduction and Outline.mp4 -
2.73 MB

          033 Donut and XOR Review.mp4 -
1.82 MB

          034 Donut and XOR Revisited.mp4 -
13.95 MB

          035 Common nonlinearities and their derivatives.mp4 -
2.38 MB

          036 Hyperparameters and Cross-Validation.mp4 -
6.94 MB

          037 Manually Choosing Learning Rate and Regularization Penalty.mp4 -
7.06 MB

          038 Practical Issues Section Summary.mp4 -
9.61 MB

    05 TensorFlow exercises practice and what to learn next
          039 TensorFlow plug-and-play example.mp4 -
15.9 MB

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

          041 Where to go from here.mp4 -
6.05 MB

          042 You know more than you think you know.mp4 -
8.23 MB

          043 How to get good at deep learning exercises.mp4 -
9.45 MB

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

    06 Project Facial Expression Recognition
          045 Facial Expression Recognition Problem Description.mp4 -
21.43 MB

          046 The class imbalance problem.mp4 -
10.11 MB

          047 Utilities walkthrough.mp4 -
13.48 MB

          048 Facial Expression Recognition in Code Binary Sigmoid.mp4 -
25.19 MB

          049 Facial Expression Recognition in Code Logistic Regression Softmax.mp4 -
19.76 MB

          050 Facial Expression Recognition in Code ANN Softmax.mp4 -
23.47 MB



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