Deep Learning Jan 2025 udemy

/14 - Building a SOM/003 Step 2 - SOM Weight Initialization and Training Tutorial for Anomaly Detection.srt

/14 - Building a SOM/003 Step 2 - SOM Weight Initialization and Training Tutorial for Anomaly Detection.mp4

/14 - Building a SOM/004 Step 3 - SOM Visualization Techniques Colorbar --& Markers for Outlier Detection.srt

/14 - Building a SOM/004 Step 3 - SOM Visualization Techniques Colorbar --& Markers for Outlier Detection.mp4

/04 - Building an ANN/007 Step 5 - How to Make Predictions and Evaluate Neural Network Model in Python.srt

/10 - Building a RNN/009 Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.srt

/04 - Building an ANN/007 Step 5 - How to Make Predictions and Evaluate Neural Network Model in Python.mp4

/14 - Building a SOM/002 Step 1 - Implementing Self-Organizing Maps --(SOMs--) for Fraud Detection in Python.srt

/14 - Building a SOM/005 Step 4 - Catching Cheaters with SOMs Mapping Winning Nodes to Customer Data.srt

/07 - Building a CNN/006 Step 5 - Deploying a CNN for Real-World Image Recognition.srt

/10 - Building a RNN/004 Step 3 - Applying Min-Max Normalization for Time Series Data in Neural Networks.srt

/07 - Building a CNN/003 Step 2 - Deep Learning Preprocessing Scaling --& Transforming Images for CNNs.srt

/10 - Building a RNN/003 Step 2 - Importing Training Data for LSTM Stock Price Prediction Model.srt

/10 - Building a RNN/005 Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.srt

/10 - Building a RNN/009 Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.mp4

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