This eighth video in the Deep learning with Keras series demonstrates how to create a confusion matrix to visually observe how well a Keras model was able to predict on new data.
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