Deep Learning with Keras Tutorial
Selected Reading
- Deep Learning with Keras - Discussion
- Deep Learning with Keras - Useful Resources
- Deep Learning with Keras - Quick Guide
- Conclusion
- Loading Model for Predictions
- Saving Model
- Predicting on Test Data
- Evaluating Model Performance
- Training the Model
- Preparing Data
- Compiling the Model
- Creating Deep Learning Model
- Importing Libraries
- Setting up Project
- Deep Learning
- Deep Learning with Keras - Introduction
- Deep Learning with Keras - Home
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Conclusion
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.
Advertisements