[UdemyCourseDownloader] Grokking Deep Learning in Motion

mp4   Hot：91   Size：1.85 GB   Created：2020-01-03 08:33:26   Update：2021-12-07 20:59:43  

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File List

  • 34 Regularization - Early Stopping and Dropout.mp4 100.18 MB
    37 Softmax and implementation in code.mp4 87.91 MB
    25 Up and down pressure.mp4 79.93 MB
    36 Standard Activation Functions.mp4 77.03 MB
    17 How to use a derivative to learn.mp4 76.56 MB
    01 Introduction.mp4 72.69 MB
    05 Parametric vs. non-parametric learning.mp4 67.48 MB
    08 Multiple inputs.mp4 64.47 MB
    32 3-layer network on MNIST.mp4 60.89 MB
    35 Activation Function Constraints.mp4 59 MB
    22 Visualizing weight values.mp4 58.01 MB
    23 The streetlight problem.mp4 56.72 MB
    31 Seeing the network predict.mp4 51.24 MB
    15 Learning with gradient decent.mp4 51.14 MB
    38 Where to go from here.mp4 47.54 MB
    26 Correlation and backpropagation.mp4 47.46 MB
    24 Building our neural network.mp4 46.76 MB
    30 Simplified visualization.mp4 46.58 MB
    27 Linear vs. non-linear.mp4 46.06 MB
    28 Our first 'deep' neural network.mp4 45.8 MB
    06 Making a prediction.mp4 43.31 MB
    13 Hot and cold learning.mp4 43.11 MB
    14 Gradient descent.mp4 42.92 MB
    19 Gradient descent learning with multiple inputs.mp4 41.57 MB
    16 The secret to learning.mp4 41.34 MB
    09 Multiple outputs and stacking predictions.mp4 40.91 MB
    29 Simplifying.mp4 40.33 MB
    11 Compare and learn.mp4 39.97 MB
    33 Overfitting in Neural Networks.mp4 38.38 MB
    03 What is Deep Learning and Machine Learning.mp4 37.06 MB
    18 Alpha.mp4 37.05 MB
    10 Primer on NumPy.mp4 35.68 MB
    04 Supervised vs. unsupervised learning.mp4 34.56 MB
    02 What you need to get started.mp4 34.53 MB
    12 Why measure error.mp4 26.64 MB
    20 Several steps of learning.mp4 26.39 MB
    21 Gradient descent with multiple outputs.mp4 23.26 MB
    07 What does a Neural Network do.mp4 22.97 MB
    udemycoursedownloader.com.url 132 B
    Udemy Course downloader.txt 94 B

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