This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
What you'll learn?
- Introduction to the Google Colab and Importing necessary Libraries
- Cloning , Exploring and Visualize Datasets
- Image pre-processing that includes Grayscale conversion , Applying Histogram Equalization Technique and Image Normalization
- Building Convolutional Neural Networks with Keras
- Compile and Train a Deep Learning Model that can identify between 43 different Traffic Signs
- Test model with the test dataset & oversee the performance of trained convolution neural network model
Course Overview
This is a Hands-on Project. You learn by Practice.
No unnecessary lectures. No unnecessary details.
A precise, to the point and efficient course made for those who want to learn the most important part of Data Science : Importing Datasets, Building Models using the Datasets and Training and Testing the Models. Everything else revolves around this.
Although, for the sake of this project we will using traffic signs for autonomous vehicles to learn about Deep Learning and Data Science. The same process can be repeated for other projects too. The same process and techniques can be repeated for other Deep learning projects. Some such projects that you can build following similar process are:
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Self Driving Cars (This project)
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Skin Cancer Detection
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Currency Detection
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Human Facial Recognition
You will learn more in this one hour of Practice that hundreds of hours of unnecessary theoretical lectures.
Data Science is the hottest job of the 21st century. You need good programming skills and analytical skills and years of hard work to be a Pro in Data science. This one hour course is precise , to the point and efficient . It has no unnecessary details. This is the only course you need .We understand our students are Professionals and have limited time and limited attention span. Taking a few months course and forgetting everything along the way is not a efficient way to lean. We learn by practice.
Learn the most important aspect of Data Science :
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Importing and working with Datasets
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Building a Deep Convolutional Network Model using Keras
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Compile, train, test and analyze the model
We will build a Traffic Sign Classifier using Keras. In this hands-on project, we will complete the following tasks:
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Task 1: Project Overview
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Task 2: Introduction to Google Colab and Importing Libraries
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Task 3: Importing and Exploring Dataset
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Task 4: Image Pre-Processing
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Converting image to grayscale
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Applying histogram equalization technique
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Normalization
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Task 5: Build a deep convolutional network model using Keras
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Task 6: Compile and train the model
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Task 7: Testing model with the test dataset & assess the performance of trained Convolutional Neural Network model
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Task 8: Saving the trained model
We’ll be carrying out our entire project in Google Colab environment. That's why pre-installation of libraries and dependencies are not required.
Pre-requisites
- Basic Python Programming
- Basics of Neural Network
Target Audience
- Students interested in Data Science
Curriculum 6 Lectures 00:47:18
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Section 1 : Introduction
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Section 2 : Introduction To Project Platform
- Lecture 1 :
- Importing Necessary Libraries in Google Colab Platform
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Section 3 : Cloning Traffic Sign Dataset
- Lecture 1 :
- Import, Explore and Visualize Dataset
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Section 4 : Image Pre-Processing
- Lecture 1 :
- Grayscale Conversion , Applying Histogram Equalization and Normalization
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Section 5 : Build, Compile and Train a Deep Learning Model
- Lecture 1 :
- Train a Deep Learning Model that can identify between 43 different Traffic Signs
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Section 6 : Testing and Analyzing The Performance of the Model
- Lecture 1 :
- Testing and Saving the Model
Our learners work at
Frequently Asked Questions
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How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion. -
For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions. -
Is there any free trial?
Currently, we do not offer any free trial. -
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?
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