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
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- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Deep Learning with Keras - Home
Deep Learning with Keras Tutorial
Deep Learning essentially means training an Artificial Neural Network (ANN) with a huge amount of data. In deep learning, the network learns by itself and thus requires humongous data for learning. In this tutorial, you will learn the use of Keras in building deep neural networks. We shall look at the practical examples for teaching.
Audience
This tutorial is prepared for professionals who are aspiring to make a career in the field of deep learning and neural network framework. This tutorial is intended to make you comfortable in getting started with the Keras framework concepts.
Prerequisites
Before proceeding with the various types of concepts given in this tutorial, we assume that the readers have basic understanding of deep learning framework. In addition to this, it will be very helpful, if the readers have a sound knowledge of Python and Machine Learning.
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