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/07. Building a CNN/5. Step 4 - Train CNN for Image Classification Optimize with Keras & TensorFlow.vtt

/07. Building a CNN/5. Step 4 - Train CNN for Image Classification Optimize with Keras & TensorFlow.mp4

/07. Building a CNN/6. Step 5 - Deploying a CNN for Real-World Image Recognition.vtt

/04. Building an ANN/6. Step 4 - Compile and Train Neural Network Optimizers, Loss Functions & Metrics.vtt

/07. Building a CNN/6. Step 5 - Deploying a CNN for Real-World Image Recognition.mp4

/10. Building a RNN/5. Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.vtt

/04. Building an ANN/6. Step 4 - Compile and Train Neural Network Optimizers, Loss Functions & Metrics.mp4

/07. Building a CNN/3. Step 2 - Deep Learning Preprocessing Scaling & Transforming Images for CNNs.vtt

/07. Building a CNN/4. Step 3 - Building CNN Architecture Convolutional Layers & Max Pooling Explained.vtt

/10. Building a RNN/3. Step 2 - Importing Training Data for LSTM Stock Price Prediction Model.vtt

/10. Building a RNN/4. Step 3 - Applying Min-Max Normalization for Time Series Data in Neural Networks.vtt

/10. Building a RNN/9. Step 8 - Implementing Dropout Regularization in LSTM Networks for Forecasting.vtt

/07. Building a CNN/2. Step 1 - Convolutional Neural Networks Explained Image Classification Tutorial.vtt

/07. Building a CNN/7. Develop an Image Recognition System Using Convolutional Neural Networks.vtt

/10. Building a RNN/5. Step 4 - Building X_train and y_train Arrays for LSTM Time Series Forecasting.mp4

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