Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 5 Minute(s)
Language
English
Taught by
Karthik Karunakaran, Ph.D.
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Convolutional Neural Networks for Computer Vision With Keras and TensorFlow on Google Colab Platform : Hands-on
Welcome to the "Deep Learning for Image Classification in Python with CNN" course. In this course, you will learn how to create a Convolutional Neural Network (CNN) in Keras with a TensorFlow backend from scratch, and you will learn to train CNNs to solve custom Image Classification problems. Please note that you don't need a high-powered workstation to learn this course. We will be carrying out the entire project in the Google Colab environment, which is free. You only need an internet connection and a free Gmail account to complete this course. This is a practical course, we will focus on Python programming, and you will understand every part of the program very well. By the end of this course, you will be able to build and train the convolutional neural network using Keras with TensorFlow as a backend. You will also be able to visualise data and use the model to make predictions on new data. This image classification course is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your following job interview. This course is designed most straightforwardly to utilize your time wisely.
Happy learning.
How much does an Image Processing Engineer make in the USA? (Source: Talent)
The average image processing engineer salary in the USA is $125,550 per year or $64.38 per hour. Entry-level positions start at $102,500 per year, while most experienced workers make up to $174,160 per year.
Course Content
- 2 section(s)
- 35 lecture(s)
- Section 1 Fundamentals
- Section 2 Building, Evaluating and Predicting Image Classification Model
What You’ll Learn
- Understand the fundamentals of Convolutional Neural Networks (CNNs)
- Build and train a CNN using Keras with Tensorflow as a backend using Google Colab
- Assess the performance of trained CNN
- Learn to use the trained model to predict the class of a new set of image data
Skills covered in this course
Reviews
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SShine Baby
It was a good course. I really enjoyed it and learned lot. It was easy to understand . Thank you so much Sir for taking this course in a simple format.
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PPrabhishek Singh
Great Experience
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KKritika Mitra
These materials can be found for free easily. If we are paying some amount we expect something more valuable, which is not available for free.
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HHemal Sebastian
Basic explanations only.
