This sixteenth video in the Deep learning with Keras series demonstrates how to use data augmentation on images in Keras.
Previous videos in this series:
- Deep learning with Keras - Part 1: Prerequisites for working with Keras
- Deep learning with Keras - Part 2: Configure Keras to use Theano backend (Linux)
- Deep learning with Keras - Part 3: Preprocess training data for Keras model
- Deep learning with Keras - Part 4: Build a single hidden layer model in Keras
- Deep learning with Keras - Part 5: Train a single hidden layer model in Keras
- Deep learning with Keras - Part 6: Create a validation set in Keras
- Deep learning with Keras - Part 7: Make predictions in Keras
- Deep learning with Keras - Part 8: Create confusion matrix for Keras model predictions
- Deep learning with Keras - Part 9: Save and load Keras model
- Deep learning with Keras - Part 10: Set up for CNN training on images in Keras
- Deep learning with Keras - Part 11: Build and train a CNN in Keras
- Deep learning with Keras - Part 12: Predict with a CNN in Keras
- Deep learning with Keras - Part 13: Fine-tune a CNN in Keras
- Deep learning with Keras - Part 14: Train a fine-tuned CNN in Keras
- Deep learning with Keras - Part 15: Predict with a fine-tuned CNN in Keras