- Deep Learning with Keras Tutorial
- Deep Learning with Keras - Home
- Deep Learning with Keras - Introduction
- Deep Learning
- Setting up Project
- Importing Libraries
- Creating Deep Learning Model
- Compiling the Model
- Preparing Data
- Training the Model
- Evaluating Model Performance
- Predicting on Test Data
- Saving Model
- Loading Model for Predictions
- Conclusion
- Deep Learning with Keras Resources
- Deep Learning with Keras - Quick Guide
- Deep Learning with Keras - Useful Resources
- Deep Learning with Keras - Discussion
Deep Learning with Keras - Conclusion
Keras provides a high level API for creating deep neural network. In this tutorial, you learned to create a deep neural network that was trained for finding the digits in handwritten text. A multi-layer network was created for this purpose. Keras allows you to define an activation function of your choice at each layer. Using gradient descent, the network was trained on the training data. The accuracy of the trained network in predicting the unseen data was tested on the test data. You learned to plot the accuracy and error metrics. After the network is fully trained, you saved the network model for future use.
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