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100% FREE | Data Science: Hands-On 1 Hour Project On Deep Learning

05 Aug, 2021by Admin 31
100% FREE | Data Science: Hands-On 1 Hour Project On Deep Learning
100% FREE | Data Science: Hands-On 1 Hour Project On Deep Learning

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.

Get Udemy Coupon 100% OFF For Data Science: Hands-On 1 Hour Project On Deep Learning Course

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

WHAT WILL YOU LEARN IN THIS COURSE:

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

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IF YOU FIND THIS FREE UDEMY COURSEData Science “USEFUL AND HELPFUL PLEASE GO AHEAD SHARE THE KNOWLEDGE WITH YOUR FRIENDS WHILE THE COURSE IS STILL AVAILABLE


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