Course Description

Learn to build image classification engine with using Convolutional Neural Network (CNN) . CNNis popular network where a machine can be trained to classify images based on patterns in the images. Once trained, it can be used to identify objects in the images.

A lot of smart researchers have already spent lot of time building really good image classification networks like VGGNET, RESNET, Inception V3. The networks are variants of CNN. These networks have been trained on imagenet animal dataset. If your dataset requires a different type of image classification, you could just start with these networks and fine tune them on your smaller dataset. This saves significant time and resources.

Build a strong foundation in CNN with this tutorial for beginners.

• Understanding fundamentals Convolution

• Understanding fundamentals of deep learning and CNN

• Benefits of CNN

• Learn how to apply CNN with real example

• Use Jupyter Notebook for step by step programming

• Fine tune accuracy of CNN

• Build a real life web application for dog vs cats classification

  
  

• A Powerful Skill at Your FingertipsLearning the fundamentals of CNN puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.

No prior knowledge of CNN or deep learning is assumed. I'll be covering topics like deep learning, Convolution and CNN from scratch.

Jobs in computer vision area are plentiful, and being able to learn transfer learning will give you a strong edge. CNNis state of art technology that can quickly help you achieve your goal.

Learning image classification with CNNwill help you become a computer vision developer which is in high demand.

Content and Overview

This course teaches you on how to build dog vs cats classification engine using open source Python and Jupyterframework. You will work along with me step by step to build following answers

• Introduction to Convolution

• Introduction to CNN

• Build an jupyter notebook step by step using CNN

• Build a real world web application to find cat vs dog

What am I going to get from this course?

• Learn CNN and build dog vs cats image classification engine from professional trainer from your own desk.

• Over 10lecturesteaching you how to build image classification engine

• Suitable for beginner programmers and ideal for users who learn faster when shown.

• Visual training method, offering users increased retention and accelerated learning.

• Breaks even the most complex applications down into simplistic steps.

• Offers challenges to studentsto enable reinforcement of concepts. Also solutions are described to validate the challenges.