Data Science: Hands-On 1 Hour Project On Deep Learning



Data Science: Hands-On 1 Hour Project On Deep Learning


English | 47:18 | Video 720p | Subtitles


Image Classification for Autonomous Vehicle using Keras : Learn to explore datasets and build, train and test models.


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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


 


Requirements


Basic Python Programming


Basics of Neural Network


Description


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:


Self Driving Cars (This project)


Skin Cancer Detection


Currency Detection


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 : 


Importing  and working with Datasets


Building a Deep Convolutional Network Model using Keras


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:


Task 1: Project Overview


Task 2: Introduction to Google Colab and Importing Libraries


Task 3: Importing and Exploring Dataset


Task 4: Image Pre-Processing 


     Converting image to grayscale


     Applying histogram equalization technique


     Normalization


Task 5: Build a deep convolutional network model using Keras


Task 6: Compile and train the model


Task 7: Testing model with the test dataset & assess the performance of trained Convolutional Neural Network model


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.


Who this course is for:


Students interested in Data Science


 


 


Homepage:


https://www.udemy.com/course/data-science-hands-on-1-hour-project-on-deep-learning/


 


Data Science: Hands-On 1 Hour Project On Deep Learning

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