Here we’ll learn:
Deep Learning with Keras – Setting up Project
Deep Learning with Keras – Importing Libraries
Deep Learning with Keras – Introduction
Deep Learning with Keras – Deep Learning
Creating Deep Learning Model
Deep Learning with Keras – Compiling the Model
Deep Learning with Keras – Preparing Data
Deep Learning with Keras – Training the Model
Evaluating Model Performance
Predicting on Test Data
Deep Learning with Keras – Saving Model
Loading Model for Predictions
Deep Learning with Keras – Conclusion
Deep Learning with Keras – Quick Guide
Curriculum
- 14 Sections
- 44 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Deep Learning with Keras - Setting up ProjectWith this background, let us now start creating the project.2
- Deep Learning with Keras - Importing LibrariesWe first import the various libraries required by the code in our project.3
- Deep Learning with Keras - Introduction1
- Deep Learning with Keras - Deep Learning6
- Creating Deep Learning Model4
- Deep Learning with Keras - Compiling the Model2
- Deep Learning with Keras - Preparing Data5
- Deep Learning with Keras - Training the Model1
- Evaluating Model Performance3
- Predicting on Test Data1
- Deep Learning with Keras - Saving Model1
- Loading Model for Predictions1
- Deep Learning with Keras - Conclusion1
- Deep Learning with Keras - Quick Guide13
- 14.1Deep Learning with Keras – Introduction
- 14.2Deep Learning with Keras – Deep Learning
- 14.3Deep Learning with Keras – Setting up Project
- 14.4Deep Learning with Keras – Importing Libraries
- 14.5Creating Deep Learning Model
- 14.6Deep Learning with Keras – Compiling the Model
- 14.7Deep Learning with Keras – Preparing Data
- 14.8Deep Learning with Keras – Training the Model
- 14.9Evaluating Model Performance
- 14.10Predicting on Test Data
- 14.11Deep Learning with Keras – Saving Model
- 14.12Loading Model for Predictions
- 14.13Deep Learning with Keras – Conclusion
