COVID Detection Using Deep Learning | COVID Detection With X-Rays | Deep Learning Training | Edureka

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This Edureka video on "𝐂𝐎𝐕𝐈𝐃 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐔𝐬𝐢𝐧𝐠 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 " will provide you with a comprehensive and detailed knowledge of Image classification and how it can be implemented using a Convolutional Neural Network. In this video, you will be working on image processing with Python and also will learn about the convolutional neural network. Finally, we will build an end-to-end model to process and identify the Covid X-Ray images with CNN. Below are the topics covered in this COVID Detection Using Deep Learning video :
00:00:00 Introduction
00:00:47 Why CNN?
00:04:55 What is CNN?
00:07:00 Image Processing Using CNN
00:11:00 CNN For Covid Detection

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#Edureka #EdurekaDeepLearning #COVID19Detection #PneumoniaPrediction #DeepLearningTutorial #EdurekaTraining #Python

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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course :
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.

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