TensorFlow Tutorial | Deep Learning with TensorFlow | TensorFlow Tutorial for Beginners |Simplilearn

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This TensorFlow tutorial will help you understand what is Deep Learning and it’s libraries, why use TensorFlow, what is TensorFlow, how to build a computational graph, programming using elements in TensorFlow, what are Recurrent Neural Networks along with a use case implementation on TensorFlow. TensorFlow is a software library developed by Google for the purposes of conducting machine learning and deep neural network research. In this video, you will learn the fundamentals of TensorFlow concepts, functions and operations required to implement deep learning algorithms and leverage data like never before. Now let’s get started in mastering the concept of Deep Learning using TensorFlow.

Below topics are explained in this TensorFlow Tutorial:
1. What is Deep Learning?
2. Top Deep Learning libraries?
3. Why use TensorFlow?
4. What is TensorFlow?
5. Building a computational graph
6. Programming elements in TensorFlow
7. Introducing Recurrent Neural Networks
8. Use case implementation of RNN using TensorFlow

To learn more about Deep Learning, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

You can also go through the slides here: https://goo.gl/TY2D7H

Watch more videos on Deep Learning: https://www.youtube.com/playlist?list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip

#DeepLearning #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse
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