Deep Learning Jan 2025 udemy

/07 - Building a CNN/005 Step 4 - Train CNN for Image Classification Optimize with Keras --& TensorFlow.srt

/07 - Building a CNN/005 Step 4 - Train CNN for Image Classification Optimize with Keras --& TensorFlow.mp4

/04 - Building an ANN/006 Step 4 - Compile and Train Neural Network Optimizers, Loss Functions --& Metrics.srt

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

/04 - Building an ANN/006 Step 4 - Compile and Train Neural Network Optimizers, Loss Functions --& Metrics.mp4

/07 - Building a CNN/006 Step 5 - Deploying a CNN for Real-World Image Recognition.mp4

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

/07 - Building a CNN/004 Step 3 - Building CNN Architecture Convolutional Layers --& Max Pooling Explained.srt

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

/07 - Building a CNN/002 Step 1 - Convolutional Neural Networks Explained Image Classification Tutorial.srt

/07 - Building a CNN/007 Develop an Image Recognition System Using Convolutional Neural Networks.srt

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

/10 - Building a RNN/007 Step 6 - Create RNN Architecture Sequential Layers vs Computational Graphs.srt

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