Optimizers in Machine Learning and Deep Learning --> [ DevCourseWeb ]


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Torrent Hash : 76FE3D38FB169190423408FBAAB0A49D0F206134
Torrent Added : 2 months ago in Other - Other
Torrent Size : 1.03 GB


Optimizers in Machine Learning and Deep Learning --> [ DevCourseWeb ]
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Torrent File Content (35 files)


[ DevCourseWeb.com ] Udemy - Optimizers in Machine Learning and Deep Learning
     Get Bonus Downloads Here.url -
182 bytes

    ~Get Your Files Here !
          1 - Introduction/1 - Introduction.mp4 -
14.43 MB

          2 - Stochastic Gradient Descent/1 - Stochastic Gradient Descent (SGD) - Intro.mp4 -
37.04 MB

          2 - Stochastic Gradient Descent/2 - SGD with Mean Squared Error - Gradient derivation.mp4 -
23.23 MB

          2 - Stochastic Gradient Descent/3 - SGD - Excel implementation.mp4 -
43.72 MB

          2 - Stochastic Gradient Descent/4 - SGD - Validating excel outputs using TensorFlow.mp4 -
33.64 MB

          2 - Stochastic Gradient Descent/5 - SGD - Pros and Cons.mp4 -
28.99 MB

          3 - Momentum/1 - Momentum - Intro.mp4 -
6.92 MB

          3 - Momentum/2 - Momentum - Excel implementation.mp4 -
73.59 MB

          3 - Momentum/3 - Momentum - Validating excel outputs using TensorFlow.mp4 -
31.71 MB

          3 - Momentum/4 - Momentum - Pros and Cons.mp4 -
5.76 MB

          4 - NAG/1 - NAG - Intro.mp4 -
9.44 MB

          4 - NAG/2 - NAG - Excel implementation.mp4 -
66.69 MB

          4 - NAG/3 - NAG - Validating excel outputs using TensorFlow.mp4 -
25.41 MB

          4 - NAG/4 - NAG - Pros and Cons.mp4 -
7.99 MB

          5 - Adagrad/1 - Adagrad - Intro.mp4 -
80.4 MB

          5 - Adagrad/2 - Adagrad - Excel implementation.mp4 -
102.46 MB

          5 - Adagrad/3 - Adagrad - Validating excel outputs using TensorFlow.mp4 -
36.29 MB

          5 - Adagrad/4 - Adagrad - Pros and Cons.mp4 -
12.5 MB

          6 - RMSprop/1 - RMSprop - Intro.mp4 -
14.9 MB

          6 - RMSprop/2 - RMSprop - Excel implementation.mp4 -
19.67 MB

          6 - RMSprop/3 - RMSprop - Validating excel outputs using TensorFlow.mp4 -
18.5 MB

          6 - RMSprop/4 - RMSprop - Pros and Cons.mp4 -
5.19 MB

          7 - Adam/1 - Adam - Intro.mp4 -
21.99 MB

          7 - Adam/2 - Adam - Excel implementation.mp4 -
56.29 MB

          7 - Adam/3 - Adam - Validating excel outputs using TensorFlow.mp4 -
29.37 MB

          7 - Adam/4 - Adam - Pros and Cons.mp4 -
13.9 MB

          8 - Gradient derivation for different loss and activation functions/1 - Gradient derivation - Intro.mp4 -
17.19 MB

          8 - Gradient derivation for different loss and activation functions/2 - SGD with Mean Absolute Error.mp4 -
21.25 MB

          8 - Gradient derivation for different loss and activation functions/3 - SGD with Root Mean Squared Error.mp4 -
25.1 MB

          8 - Gradient derivation for different loss and activation functions/4 - SGD with ReLu Activation and Mean Absolute Error.mp4 -
70.23 MB

          8 - Gradient derivation for different loss and activation functions/5 - SGD with Sigmoid Activation and Binary Log loss - Part 1.mp4 -
77.35 MB

          8 - Gradient derivation for different loss and activation functions/6 - SGD with Sigmoid Activation and Binary Log loss - Part 2.mp4 -
17.01 MB

          8 - Gradient derivation for different loss and activation functions/7 - Summary of gradients.mp4 -
3.04 MB

          Bonus Resources.txt -
386 bytes



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