FreeTutorials Us unsupervised deep learning in python 09 Appendix 036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow mp4

FreeTutorials Us unsupervised deep learning in python
09 Appendix 036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow mp4

Name	[FreeTutorials.Us] unsupervised-deep-learning-in-python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	583.4 MB
Total Files	40
Hash	A38869DE7EC5176860C5DEF241DBF424160CB2D6

/09 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4	46.0 MB
/09 Appendix/037 How to Code by Yourself part 1.mp4	25.7 MB
/09 Appendix/038 How to Code by Yourself part 2.mp4	15.5 MB
/05 Restricted Boltzmann Machines/027 RBM in Code Tensorflow.mp4	14.4 MB
/04 Autoencoders/018 Autoencoder in Code Tensorflow.mp4	25.6 MB
/04 Autoencoders/017 Writing the deep neural network class in code Theano.mp4	44.0 MB
/04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4	40.4 MB
/04 Autoencoders/016 Testing our Autoencoder Theano.mp4	11.9 MB
/01 Introduction and Outline/001 Introduction and Outline.mp4	3.4 MB
/04 Autoencoders/022 Deep Autoencoder Visualization in Code.mp4	29.2 MB
/02 Principal Components Analysis/004 What does PCA do.mp4	12.1 MB
/02 Principal Components Analysis/007 PCA objective function.mp4	3.9 MB
/02 Principal Components Analysis/005 PCA derivation.mp4	7.0 MB
/04 Autoencoders/021 Deep Autoencoder Visualization Description.mp4	2.6 MB
/05 Restricted Boltzmann Machines/023 Restricted Boltzmann Machine Theory.mp4	15.1 MB
Showing first 15 files of 40 total files