Deep Learning Jan 2025 udemy 09 RNN Intuition 006 How LSTMs Work in Practice Visualizing Neural Network Predictions mp4

Deep Learning Jan 2025 udemy
09 RNN Intuition 006 How LSTMs Work in Practice Visualizing Neural Network Predictions 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	2025-06-23 00:16
Hash	F40D359139D1B8CD941ACE3CFDAE5F090612E963

/09 - RNN Intuition/006 How LSTMs Work in Practice Visualizing Neural Network Predictions.mp4	67.2 MB
/09 - RNN Intuition/006 How LSTMs Work in Practice Visualizing Neural Network Predictions.srt	25.5 KB
/03 - ANN Intuition/007 Mastering Gradient Descent Key to Efficient Neural Network Training.mp4	35.9 MB
/03 - ANN Intuition/007 Mastering Gradient Descent Key to Efficient Neural Network Training.srt	18.0 KB
/06 - CNN Intuition/004 How to Apply Convolution Filters in Neural Networks Feature Detection Explained.mp4	46.6 MB
/03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.mp4	34.8 MB
/06 - CNN Intuition/007 How to Flatten Pooled Feature Maps in Convolutional Neural Networks --(CNNs--).mp4	6.4 MB
/06 - CNN Intuition/004 How to Apply Convolution Filters in Neural Networks Feature Detection Explained.srt	28.7 KB
/06 - CNN Intuition/008 How Do Fully Connected Layers Work in Convolutional Neural Networks --(CNNs--).mp4	55.3 MB
/03 - ANN Intuition/008 How to Use Stochastic Gradient Descent for Deep Learning Optimization.srt	15.2 KB
/09 - RNN Intuition/001 What You'll Need for RNN.html	2.6 KB
/03 - ANN Intuition/002 How Neural Networks Learn Gradient Descent and Backpropagation Explained.mp4	8.5 MB
/03 - ANN Intuition/006 How Do Neural Networks Learn Understanding Backpropagation and Cost Functions.mp4	51.6 MB
/06 - CNN Intuition/007 How to Flatten Pooled Feature Maps in Convolutional Neural Networks --(CNNs--).srt	3.3 KB
/09 - RNN Intuition/007 LSTM Variations Peepholes, Combined Gates, and GRUs in Deep Learning.mp4	14.4 MB
Showing first 15 files of 359 total files