Deep Learning Projects with PyTorch Video Movie Rating Using Autoencoders 21 Introduction to Autoencoders mp4

Deep Learning Projects with PyTorch Video
Movie Rating Using Autoencoders 21 Introduction to Autoencoders mp4

Name	Deep Learning Projects with PyTorch [Video]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	727.9 MB
Total Files	28
Hash	24D9D4ACE499757999B60BF9237B9498AF9E7AB9

/6.Movie Rating Using a Autoencoders/21.Introduction to Autoencoders.mp4	32.7 MB
/6.Movie Rating Using a Autoencoders/23.Making Autoencoders.mp4	23.8 MB
/6.Movie Rating Using a Autoencoders/24.Getting Output.mp4	4.0 MB
/6.Movie Rating Using a Autoencoders/22.Getting Ready for Recommender System.mp4	8.4 MB
/4.Using Autoencoders for Fraud Detection/16.Getting Output.mp4	8.6 MB
/4.Using Autoencoders for Fraud Detection/15.Developing a Model.mp4	27.8 MB
/2.Convolutional Neural Network/08.Pooling Layers.mp4	19.5 MB
/3.Understanding RNN and LSTM/13.Moving to LSTM.mp4	10.6 MB
/1.Getting Ready with PyTorch/02.Using PyTorch.mp4	40.7 MB
/1.Getting Ready with PyTorch/03.Understanding Regression.mp4	13.0 MB
/2.Convolutional Neural Network/09.Output Layer.mp4	21.5 MB
/5.Recommending a Movie with Boltzmann Machines/17.Introduction to Boltzmann Machines.mp4	41.6 MB
/1.Getting Ready with PyTorch/01.The Course Overview.mp4	4.5 MB
/3.Understanding RNN and LSTM/11.Making RNN for Prediction.mp4	31.1 MB
/7.Making Model for Object Recognition/27.Getting Output.mp4	9.8 MB
Showing first 15 files of 28 total files