Practical Deep Learning with Keras and Python

Practical Deep Learning with Keras and Python
 
Gain expertise in applying machine learning to your unique challenges by following a comprehensive pipeline that encompasses pre-processing and training, utilizing Keras and Python.

In this course, you will learn:

- The fundamentals of the Machine Learning Pipeline.
- Techniques for Regression, Binary, and Multi-class Classification.
- A recap of key concepts and a pathway to delve deeper into theory.
- Set up the development environment for Windows, Mac, and Linux, addressing potential issues.
- Data preparation, including problem description and data overview.
- Pre-processing techniques to enhance data quality.
- Loading and shaping data correctly for training and testing.
- Implementation of Sequential Model and Functional API for model building.
- Understanding Convolutional Neural Networks (CNN) in Keras and their advantages.
- Exploring concepts like Pooling and Dropout and their significance in model optimization.

Course Components:

- Practical Deep Learning with Keras and Python Course