Deep Learning Projects with PyTorch Video | 24D9D4ACE499757999B60BF9237B9498AF9E7AB9

Deep Learning Projects with PyTorch Video

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

/Exercise Files/
code_33630.zip	103.9 MB
/1.Getting Ready with PyTorch/
02.Using PyTorch.mp4	40.7 MB
03.Understanding Regression.mp4	13.0 MB
04.Linear Regression and Logistic Regression.mp4	34.5 MB
01.The Course Overview.mp4	4.5 MB
/2.Convolutional Neural Network/
05.Understanding Convolutional Neural Network.mp4	17.9 MB
06.Looking into Images from a Machine Perspective.mp4	23.4 MB
07.Making CNN.mp4	33.7 MB
08.Pooling Layers.mp4	19.5 MB
09.Output Layer.mp4	21.5 MB
/3.Understanding RNN and LSTM/
10.Understanding Recurrent Neural Network.mp4	29.4 MB
11.Making RNN for Prediction.mp4	31.1 MB
12.Why LSTM.mp4	52.1 MB
13.Moving to LSTM.mp4	10.6 MB
/4.Using Autoencoders for Fraud Detection/
14.Getting Ready with Data.mp4	27.2 MB
15.Developing a Model.mp4	27.8 MB
16.Getting Output.mp4	8.6 MB
/5.Recommending a Movie with Boltzmann Machines/
17.Introduction to Boltzmann Machines.mp4	41.6 MB
18.Getting Ready for Recommender System.mp4	18.5 MB
19.Making Boltzmann Machines.mp4	60.9 MB
20.Getting Output.mp4	4.1 MB
/6.Movie Rating Using a Autoencoders/
21.Introduction to Autoencoders.mp4	32.7 MB
22.Getting Ready for Recommender System.mp4	8.4 MB
23.Making Autoencoders.mp4	23.8 MB
24.Getting Output.mp4	4.0 MB
/7.Making Model for Object Recognition/
25.Getting Ready with Data.mp4	8.3 MB
26.Developing a Model.mp4	16.5 MB
27.Getting Output.mp4	9.8 MB
Total files 28