Up next


Artificial Intelligence Tutorial for Beginners | AI Tutorial | Edureka | DL Rewind - 1

4,209 Views
AI Lover
3
Published on 05/14/23 / In How-to & Learning

๐Ÿ”ฅ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐€๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐ข๐š๐ฅ ๐ˆ๐ง๐ญ๐ž๐ฅ๐ฅ๐ข๐ ๐ž๐ง๐œ๐ž ๐ฎ๐ฌ๐ข๐ง๐  ๐“๐ž๐ง๐ฌ๐จ๐ซ๐Ÿ๐ฅ๐จ๐ฐ ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐ (Use code: ๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ) - https://www.edureka.co/ai-deep....-learning-with-tenso
This Edureka video on "Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
Topics covered in this session:
00:00:00 Introduction
00:00:29 Agenda
00:00:47 What is Artificial Intelligence
00:02:10 AI vs ML vs DL
00:07:38 Importance of Artificial Intelligence
00:09:17 Types of AI
00:10:44 Artificial Intelligence Applications
00:12:27 Domains of Artificial Intelligence
00:14:47 Job Profiles in AI
00:15:46 Object Detection
00:16:47 Hands-On

๐Ÿ”ดSubscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

------------------------------------Edureka Online Training and Certification---------------------------------

๐Ÿ”ต DevOps Online Training: https://bit.ly/2BPwXf0
๐ŸŸฃ Python Online Training: https://bit.ly/2CQYGN7
๐Ÿ”ต AWS Online Training: https://bit.ly/2ZnbW3s
๐ŸŸฃ RPA Online Training: https://bit.ly/2Zd0ac0
๐Ÿ”ต Data Science Online Training: https://bit.ly/2NCT239
๐ŸŸฃ Big Data Online Training: https://bit.ly/3g8zksu
๐Ÿ”ต Java Online Training: https://bit.ly/31rxJcY
๐ŸŸฃ Selenium Online Training: https://bit.ly/3dIrh43
๐Ÿ”ต PMP Online Training: https://bit.ly/3dJxMTW
๐ŸŸฃ Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

๐Ÿ”ตDevOps Engineer Masters Program: https://bit.ly/2B9tZCp
๐ŸŸฃCloud Architect Masters Program: https://bit.ly/3i9z0eJ
๐Ÿ”ตData Scientist Masters Program: https://bit.ly/2YHaolS
๐ŸŸฃBig Data Architect Masters Program: https://bit.ly/31qrOVv
๐Ÿ”ตMachine Learning Engineer Masters Program: https://bit.ly/388NXJi
๐ŸŸฃBusiness Intelligence Masters Program: https://bit.ly/2BPLtn2
๐Ÿ”ตPython Developer Masters Program: https://bit.ly/2Vn7tgb
๐ŸŸฃRPA Developer Masters Program: https://bit.ly/3eHwPNf

---------------------------------------Edureka Post Graduate Courses-------------------------------------------

๐Ÿ”ต Artificial and Machine Learning PGD: https://bit.ly/3AylL0q


-----------------------------------------------------------------

Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
SlideShare: https://www.slideshare.net/EdurekaIN
Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka/

#edureka #DeepLearningEdureka #AIwithPython #ArtificialIntelligence #AI #DeepLearning #Pythontutorial #Pythononlinetraining #Pythonforbeginners

---------------------------------------------------------------

How it Works?

1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!

- - - - - - - - - - - - - -

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 โ€œHello Wordโ€ 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.

- - - - - - - - - - - - - -

Who should go for this course?

The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'

2. Analytics Managers who are leading a team of analysts

3. Business Analysts who want to understand Deep Learning (ML) Techniques

4. Information Architects who want to gain expertise in Predictive Analytics

5. Professionals who want to captivate and analyze Big Data

6. Analysts wanting to understand Data Science methodologies

- - - - - - - - - - - - - -

For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Show more
0 Comments sort Sort By

Up next