[FreeCoursesOnline Me] PacktPub - Master Deep Learning with TensorFlow 2 0 in Python [2019] [Video]
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[FreeCoursesOnline Me] PacktPub - Master Deep Learning with TensorFlow 2 0 in Python [2019] [Video]
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Torrent File Content (89 files)
[FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
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01.Welcome! Course introduction
0101.Meet your instructors and why you should study machine learning.mp4 -
0101.Meet your instructors and why you should study machine learning.mp4 -
84.75 MB
0102.What does the course cover.mp4 -
39.08 MB
02.Introduction to neural networks
0201.Introduction to neural networks.mp4 -
0201.Introduction to neural networks.mp4 -
45.75 MB
0202.Training the model.mp4 -
26.82 MB
0203.Types of machine learning.mp4 -
40.85 MB
0204.The linear model.mp4 -
26.04 MB
0205.The linear model. Multiple inputs.mp4 -
23.69 MB
0206.The linear model. Multiple inputs and multiple outputs.mp4 -
42.21 MB
0207.Graphical representation.mp4 -
21.96 MB
0208.The objective function.mp4 -
17.7 MB
0209.L2-norm loss.mp4 -
21.4 MB
0210.Cross-entropy loss.mp4 -
33.4 MB
0211.One parameter gradient descent.mp4 -
56.41 MB
0212.N-parameter gradient descent.mp4 -
57.61 MB
03.Setting up the working environment
0301.Setting up the environment - An introduction - Do not skip, please!.mp4 -
0301.Setting up the environment - An introduction - Do not skip, please!.mp4 -
6.91 MB
0302.Why Python and why Jupyter.mp4 -
34.69 MB
0303.Installing Anaconda.mp4 -
31.33 MB
0304.The Jupyter dashboard - part 1.mp4 -
9.24 MB
0305.The Jupyter dashboard - part 2.mp4 -
20.37 MB
0306.Installing TensorFlow 2.mp4 -
51.17 MB
04.Minimal example - your first machine learning algorithm
0401.Minimal example - part 1.mp4 -
0401.Minimal example - part 1.mp4 -
36.36 MB
0402.Minimal example - part 2.mp4 -
23.74 MB
0403.Minimal example - part 3.mp4 -
20.43 MB
0404.Minimal example - part 4.mp4 -
30.41 MB
05.TensorFlow - An introduction
0501.TensorFlow outline.mp4 -
0501.TensorFlow outline.mp4 -
41.97 MB
0502.TensorFlow 2 intro.mp4 -
37.84 MB
0503.A Note on Coding in TensorFlow.mp4 -
8.14 MB
0504.Types of file formats in TensorFlow and data handling.mp4 -
13.28 MB
0505.Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 -
32.94 MB
0506.Interpreting the result and extracting the weights and bias.mp4 -
31.38 MB
0507.Customizing your model.mp4 -
21.62 MB
06.Going deeper Introduction to deep neural networks
0601.Layers.mp4 -
0601.Layers.mp4 -
20.55 MB
0602.What is a deep net.mp4 -
32.6 MB
0603.Understanding deep nets in depth.mp4 -
58.18 MB
0604.Why do we need non-linearities.mp4 -
37.97 MB
0605.Activation functions.mp4 -
37.97 MB
0606.Softmax activation.mp4 -
24.98 MB
0607.Backpropagation.mp4 -
52.73 MB
0608.Backpropagation - visual representation.mp4 -
24.39 MB
07.Overfitting
0701.Underfitting and overfitting.mp4 -
0701.Underfitting and overfitting.mp4 -
34.06 MB
0702.Underfitting and overfitting - classification.mp4 -
32.48 MB
0703.Training and validation.mp4 -
37.52 MB
0704.Training, validation, and test.mp4 -
31.32 MB
0705.N-fold cross validation.mp4 -
25.57 MB
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