🔥Edureka Tensorflow Training - [ Ссылка ]
This Edureka Tutorial on "Keras Tutorial" (Deep Learning Blog Series: [ Ссылка ]) provides you a quick and insightful tutorial on the working of Keras along with an interesting use-case.
Check our complete Deep Learning With TensorFlow playlist here: [ Ссылка ]
------------------------------------Edureka Online Training and Certification---------------------------------
🔵 DevOps Online Training: [ Ссылка ]
🟣 Python Online Training: [ Ссылка ]
🔵 AWS Online Training: [ Ссылка ]
🟣 RPA Online Training: [ Ссылка ]
🔵 Data Science Online Training: [ Ссылка ]
🟣 Big Data Online Training: [ Ссылка ]
🔵 Java Online Training: [ Ссылка ]
🟣 Selenium Online Training: [ Ссылка ]
🔵 PMP Online Training: [ Ссылка ]
🟣 Tableau Online Training: [ Ссылка ]
-----------------------------------------Edureka Masters Programs---------------------------------------------------
🔵DevOps Engineer Masters Program: [ Ссылка ]
🟣Cloud Architect Masters Program: [ Ссылка ]
🔵Data Scientist Masters Program: [ Ссылка ]
🟣Big Data Architect Masters Program: [ Ссылка ]
🔵Machine Learning Engineer Masters Program: [ Ссылка ]
🟣Business Intelligence Masters Program: [ Ссылка ]
🔵Python Developer Masters Program: [ Ссылка ]
🟣RPA Developer Masters Program: [ Ссылка ]
-----------------------------------------Edureka PGP Courses---------------------------------------------------
🔵Artificial and Machine Learning PGP: [ Ссылка ]
🟣CyberSecurity PGP: [ Ссылка ]
🔵Digital Marketing PGP: [ Ссылка ]
🟣Big Data Engineering PGP: [ Ссылка ]
🔵Data Science PGP: [ Ссылка ]
🟣Cloud Computing PGP: [ Ссылка ]
---------------------------------------------------------------
🔴Subscribe to our channel to get video updates. Hit the subscribe button above: [ Ссылка ]
Twitter: [ Ссылка ]
LinkedIn: [ Ссылка ]
Instagram: [ Ссылка ]
Facebook: [ Ссылка ]
SlideShare: [ Ссылка ]
Castbox: [ Ссылка ]
Meetup: [ Ссылка ]
#edureka #deeplearningEdureka #kerastutorial #keras #deeplearningTutorial #learnDeeplearning #withMe
- - - - - - - - - - - - - -
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 “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.
- - - - - - - - - - - - - -
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
3. Business Analysts
4. Information Architects
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
- - - - - - - - - - - - - -
Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Ещё видео!