Deep Learning Jan 2025 udemy 21 Building an AutoEncoder 012 Step Implementing Stochastic Gradient Descent in Autoencoder Architecture mp4

Deep Learning Jan 2025 udemy
21 Building an AutoEncoder 012 Step Implementing Stochastic Gradient Descent in Autoencoder Architecture mp4

Name	Deep-Learning-A-Z-Jan-2025-udemy	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	5.0 GB
Total Files	359
Last Seen	2025-07-11 01:17
Hash	F40D359139D1B8CD941ACE3CFDAE5F090612E963

/21 - Building an AutoEncoder/012 Step 9 - Implementing Stochastic Gradient Descent in Autoencoder Architecture.mp4	48.9 MB
/21 - Building an AutoEncoder/012 Step 9 - Implementing Stochastic Gradient Descent in Autoencoder Architecture.srt	28.3 KB
/21 - Building an AutoEncoder/013 Step 10 - Machine Learning Metrics Interpreting Loss in Autoencoder Training.mp4	16.0 MB
/21 - Building an AutoEncoder/013 Step 10 - Machine Learning Metrics Interpreting Loss in Autoencoder Training.srt	8.3 KB
/21 - Building an AutoEncoder/003 Step 1 - Building a Movie Recommendation System with AutoEncoders Data Import.mp4	43.6 MB
/21 - Building an AutoEncoder/004 Step 2 - Preparing Training and Test Sets for Autoencoder Recommendation System.mp4	42.6 MB
/21 - Building an AutoEncoder/003 Step 1 - Building a Movie Recommendation System with AutoEncoders Data Import.srt	21.4 KB
/21 - Building an AutoEncoder/004 Step 2 - Preparing Training and Test Sets for Autoencoder Recommendation System.srt	20.5 KB
/21 - Building an AutoEncoder/009 Step 6 - Building Autoencoder Architecture Class Creation for Neural Networks.mp4	61.3 MB
/21 - Building an AutoEncoder/007 Step 4 - Prepare Data for Autoencoder Creating User-Movie Rating Matrices.mp4	75.7 MB
/21 - Building an AutoEncoder/009 Step 6 - Building Autoencoder Architecture Class Creation for Neural Networks.srt	30.1 KB
/21 - Building an AutoEncoder/011 Step 8 - PyTorch Techniques for Efficient Autoencoder Training on Large Datasets.mp4	54.4 MB
/21 - Building an AutoEncoder/007 Step 4 - Prepare Data for Autoencoder Creating User-Movie Rating Matrices.srt	35.9 KB
/10 - Building a RNN/009 Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.mp4	21.2 MB
/21 - Building an AutoEncoder/005 Step 3 - Preparing Data for Recommendation Systems User --& Movie Count in Python.mp4	30.3 MB
Showing first 15 files of 359 total files