Deep Learning For Computer Vision
Build cool and state of the art computer vision projects with deep learning.
Ratings 3.84 / 5.00
What You Will Learn!
- Use of Keras for image classification
- Pre-Processing data in order to achieve target shape
- Train Convolutional neural network models
- Understand different neural net layers
- Design neural networks
- Make predictions
- Serve models in a web application
- Learn the state of the art Computer vision techniques
- Computer vision projects
- Deep Learning
Description
The primary objective of this course is to teach you the practical hands-on skills you need to solve image classification problems - and in particular, multi-class classification. And all this, well, we shall be doing without bringing in unnecessary math logic behind it all.
In this course you will learn about the most widely used type of deep neural networks (Convolution neural network). As used by top companies all over the world like Facebook and Google.
You will learn how to use Keras in your applications to solve problems and package your models.
Build a Rest API to serve your deep learning models.
Who Should Attend!
- Students delving in machine learning and are already comfortable with Python
- Intermediate Python developers
- Beginner Python developers interested in deep learning
- Hobbyists interested in deep learning and computer vision
