In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks. You will:
- Implement common deep learning workflows such as Image Classification and Object Detection. - Experiment with data, training parameters, network structure, and other strategies to increase performance and capability. - Deploy your networks to start solving real-world problems
On completion of this course, you will be able to start solving your own problems with deep learning.
What You'll Learn
Identify the ingredients required to start a Deep Learning project.
Train a deep neural network to correctly classify images it has never seen before.
Deploy deep neural networks into applications.
Identify techniques for improving the performance of deep learning applications.
Assess the types of problems that are candidates for deep learning.