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๐ฅ Post Graduate Diploma in Artificial Intelligence by E&ICT Academy
NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai
This Edureka video on ‘What Are GANs’ will help you understand the concept of generative adversarial networks including how it works and the training phases. It will also cover applications of GANs. Following are the topics discussed:
1:01 – What are Generative models?
2:32 – What are GANs?
3:46 – How does it work?
5:39 – How to Train A GAN?
7:45 – Challenges Faced By GANs
9:54 – GANs Applications
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๐Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy
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About the Course
In this Deep Learning in TensorFlow with Python Training we will learn about what is AI, explore neural networks, understand deep learning frameworks, implement various machine learning algorithms using Deep Networks. We will also explore how different layers in neural networks does data abstraction and feature extraction using Deep Learning.
Edurekaโs Deep Learning in TensorFlow training is designed to make you a Data Scientist by providing you rich hands-on training on Deep Learning in TensorFlow with Python. This course is a stepping stone in your Data Science journey using which you will get the opportunity to work on various Deep Learning projects.
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Course Objective
Deep Learning in TensorFlow with Python Training is designed by industry experts to make you a Certified Deep Learning Engineer. The Deep Learning in TensorFlow course offers:
In-depth knowledge of Deep Neural Networks
Comprehensive knowledge of various Neural Network architectures such as Convolutional Neural Network, Recurrent Neural Network, Autoencoders
Implementation of Collaborative Filtering with RBM
The exposure to real-life industry-based projects which will be executed using TensorFlow library
Rigorous involvement of an SME throughout the AI & Deep Learning Training to learn industry standards and best practices
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Why Take Up this course?
Deep Learning is one of the most accelerating and promising fields, among all the technologies available in the IT market today. To become an expert in this technology, you need structured training with the latest skills as per current industry requirements and best practices.
Besides strong theoretical understanding, you will be working on various real-life data projects using different neural network architectures as a part of solution strategy.
Additionally, you will receive guidance from a Deep Learning expert who is currently working in the industry on real-life projects.
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Who should go for this course?
The TensorFlow with Python Training is for all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer. It is best suited for individuals who are:
Developers aspiring to be a ‘Data Scientist’
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Deep Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
Analysts wanting to understand Data Science methodologies
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775
Source
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Tensorflow Course curriculum, Visit our Website: http://bit.ly/2r6pJuI
First comment โบ
Thanks for the video!
Awesome GANs have a bright future ahead
amazing video. thank you
Thanks guys!
very intersting.
Could you uploade DCGAN practical implementation using data insert from google drive sir
Nice Explianation to understand in detail
nice, can you do a video on SRGAN please?
one of the best videos on deep learning that I've watched thank you because of you I've a better understanding of this subject
at 5:53 what does "training set for generator is turned as false" mean?
Wow… Thank you! the video was very helpful
You explained GANs very well!
Very useful
Very Easy explanation
First time to understand GANS, well done
Im very eager to learn Gaand so could you make a tutorial on any GANs project
Thanks you so much, can we applied GAN to generate structured synthetic data? do you have a link about that ?
Life saver . Love from BUET
wow! GAN is really intrusting