FreeCourseSite com Udemy Deep Learning 2025 Neural Networks AI ChatGPT Prize 10 Building RNN Step Implementing Dropout Regularization in LSTM Networks for Forecasting vtt

FreeCourseSite com Udemy Deep Learning 2025 Neural Networks AI ChatGPT Prize
10 Building RNN Step Implementing Dropout Regularization in LSTM Networks for Forecasting vtt

Name	[FreeCourseSite.com] Udemy - Deep Learning A-Z 2025 Neural Networks, AI & ChatGPT Prize	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	6.6 GB
Total Files	457
Last Seen	2025-06-06 01:20
Hash	E29838AAC5FC6D5598EA8CB3027F6222B5421671

/10. Building a RNN/9. Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.vtt	10.5 KB
/10. Building a RNN/9. Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.mp4	25.0 MB
/10. Building a RNN/12. Step 11 - Optimizing Epochs and Batch Size for LSTM Stock Price Forecasting.vtt	17.1 KB
/10. Building a RNN/12. Step 11 - Optimizing Epochs and Batch Size for LSTM Stock Price Forecasting.mp4	48.3 MB
/10. Building a RNN/6. Step 5 - Preparing Time Series Data for LSTM Neural Network in Stock Forecasting.vtt	18.2 KB
/10. Building a RNN/5. Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.vtt	23.5 KB
/10. Building a RNN/6. Step 5 - Preparing Time Series Data for LSTM Neural Network in Stock Forecasting.mp4	84.3 MB
/10. Building a RNN/3. Step 2 - Importing Training Data for LSTM Stock Price Prediction Model.vtt	11.8 KB
/10. Building a RNN/5. Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.mp4	108.8 MB
/10. Building a RNN/10. Step 9 - Finalizing RNN Architecture Dense Layer for Stock Price Forecasting.vtt	6.1 KB
/10. Building a RNN/3. Step 2 - Importing Training Data for LSTM Stock Price Prediction Model.mp4	40.6 MB
/10. Building a RNN/4. Step 3 - Applying Min-Max Normalization for Time Series Data in Neural Networks.vtt	9.8 KB
/10. Building a RNN/10. Step 9 - Finalizing RNN Architecture Dense Layer for Stock Price Forecasting.mp4	15.6 MB
/14. Building a SOM/2. Step 1 - Implementing Self-Organizing Maps (SOMs) for Fraud Detection in Python.vtt	24.3 KB
/10. Building a RNN/14. Step 13 - Preparing Historical Stock Data for LSTM Model Scaling and Reshaping.vtt	28.6 KB
Showing first 15 files of 457 total files