Open to practitioners from any background who have an interest to learn computer vision and deep learning.
Basic knowledge of Python Programming and machine learning is required to attend this workshop
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Computer Vision using Python & Deep Learning
Ever been fascinated by how autonomous vehicles or robots identify humans? How face recognition systems work? This workshop will help you learn the power of learning on images!
What you'll learn
The workshop will provide an overview of Image Processing & Computer Vision using Python. It will cover the basics of how to deal with images, different operations on images and also how TensorFlow and deep learning can be leveraged for computer vision applications.
About this course
With the basic knowledge of python and a love for images, learn how coding, machine and deep learning put together can help you build technologies like face detection, object recognition and many others.
Learn In No Time
Course Duration
1
Hours
1
Days
Have a look
Course Plan
Basics of Image Processing
Understanding Image Features
Introduction to functions of OpenCV using Python and its application to computer vision
Object Segmentation and Detection
Labs using OpenCV
To introduce the key concepts of behind deep learning and introduction to the basic mathematics involved
Basics of Deep Learning Techniques
Basics of Neural Networks
Back Propagation
Activation Functions, Loss Functions, Optimization Functions
Parts of a model, Hidden layers
Convolutional Neural Networks
Basics of different layers, pooling layers, dropouts, and combining all the layers
This module covers the basics of tensorflow and how it can be used to build neural network models from scratch for various use cases. It also includes the use of labs.
This module introduces how deep learning algorithms can be used to model various Computer Vision cases such as Object Recognition and Segmentation.
Basic introduction to Computer vision
Introduction to Deep Neural Networks
Building and Classifying Images with DNNs
Incorporating DNNs for object detection
Optimizing performance of Deep Neural Networks
Labs
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