Deep Learning Projects with PyTorch Video Using Autoencoders for Fraud Detection 15 Developing Model mp4

Deep Learning Projects with PyTorch Video
Using Autoencoders for Fraud Detection 15 Developing Model 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

/4.Using Autoencoders for Fraud Detection/15.Developing a Model.mp4	27.8 MB
/4.Using Autoencoders for Fraud Detection/16.Getting Output.mp4	8.6 MB
/4.Using Autoencoders for Fraud Detection/14.Getting Ready with Data.mp4	27.2 MB
/7.Making Model for Object Recognition/26.Developing a Model.mp4	16.5 MB
/7.Making Model for Object Recognition/27.Getting Output.mp4	9.8 MB
/3.Understanding RNN and LSTM/13.Moving to LSTM.mp4	10.6 MB
/2.Convolutional Neural Network/08.Pooling Layers.mp4	19.5 MB
/2.Convolutional Neural Network/07.Making CNN.mp4	33.7 MB
/7.Making Model for Object Recognition/25.Getting Ready with Data.mp4	8.3 MB
/2.Convolutional Neural Network/09.Output Layer.mp4	21.5 MB
/3.Understanding RNN and LSTM/12.Why LSTM.mp4	52.1 MB
/6.Movie Rating Using a Autoencoders/24.Getting Output.mp4	4.0 MB
/1.Getting Ready with PyTorch/02.Using PyTorch.mp4	40.7 MB
/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
Showing first 15 files of 28 total files