UdemyCourseDownloader Grokking Deep Learning in Motion | CBCBC645CB84DBA349D3533B50792E84456D8F99

UdemyCourseDownloader Grokking Deep Learning in Motion

Name	[UdemyCourseDownloader] Grokking Deep Learning in Motion	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.0 GB
Total Files	40
Hash	CBCBC645CB84DBA349D3533B50792E84456D8F99

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34 Regularization - Early Stopping and Dropout.mp4	105.0 MB
02 What you need to get started.mp4	36.2 MB
03 What is Deep Learning and Machine Learning.mp4	38.9 MB
04 Supervised vs. unsupervised learning.mp4	36.2 MB
05 Parametric vs. non-parametric learning.mp4	70.8 MB
06 Making a prediction.mp4	45.4 MB
07 What does a Neural Network do.mp4	24.1 MB
08 Multiple inputs.mp4	67.6 MB
09 Multiple outputs and stacking predictions.mp4	42.9 MB
10 Primer on NumPy.mp4	37.4 MB
11 Compare and learn.mp4	41.9 MB
12 Why measure error.mp4	27.9 MB
13 Hot and cold learning.mp4	45.2 MB
14 Gradient descent.mp4	45.0 MB
15 Learning with gradient decent.mp4	53.6 MB
16 The secret to learning.mp4	43.3 MB
17 How to use a derivative to learn.mp4	80.3 MB
18 Alpha.mp4	38.8 MB
19 Gradient descent learning with multiple inputs.mp4	43.6 MB
20 Several steps of learning.mp4	27.7 MB
21 Gradient descent with multiple outputs.mp4	24.4 MB
22 Visualizing weight values.mp4	60.8 MB
23 The streetlight problem.mp4	59.5 MB
24 Building our neural network.mp4	49.0 MB
25 Up and down pressure.mp4	83.8 MB
26 Correlation and backpropagation.mp4	49.8 MB
27 Linear vs. non-linear.mp4	48.3 MB
28 Our first 'deep' neural network.mp4	48.0 MB
29 Simplifying.mp4	42.3 MB
30 Simplified visualization.mp4	48.8 MB
31 Seeing the network predict.mp4	53.7 MB
32 3-layer network on MNIST.mp4	63.9 MB
33 Overfitting in Neural Networks.mp4	40.2 MB
01 Introduction.mp4	76.2 MB
35 Activation Function Constraints.mp4	61.9 MB
36 Standard Activation Functions.mp4	80.8 MB
37 Softmax and implementation in code.mp4	92.2 MB
38 Where to go from here.mp4	49.8 MB
Udemy Course downloader.txt	0.1 KB
udemycoursedownloader.com.url	0.1 KB
Total files 40