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

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Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Also, if you would like to have the dataset for implementing the use case shown in the video, please comment below and we will get back to you.
Thanks for watching the video. Cheers!

SimplilearnOfficial
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Machine Learning is the Future and yours can begin today. Comment below with you email to get our latest Machine Learning Career Guide. Let your journey begin

SimplilearnOfficial
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Sir - excellent and efficient presentation of TensorFlow and application to Machine Learning, with real applications code - *thank you!*

billwindsor
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Many good concepts presented. I think that this video is a good reinforcement of those concepts when paired with other TF material. Ie, I very much doubt if I could sit down and knock out a TF solution to a substantial problem after watching only this video, but the whole TF landscape is less mysterious than before.

robertcohn
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I swear comments on computer science videos are so civil compared to every other type of fan base.

joshocallaghan
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Great video. Useful aside at 13:00-obscure fact brought to light. Thank you.

Albert-fejx
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May i know the speaker/ trainer name in this session???...He is explaining very clearly...

gopiravindar
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Well done for you job. I wanted to do the same but with a polynomial regression with ( ax^3 + bx² ... ). Do you have a topic about it ? Or could you redirect me on one ? Or a way from this code to go a 3 degree polynomial regression. Thanks in advance.

jezjez
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I remember the transflow 3 element constant, variable and placeholder but I still have confusion on the placeholder. It may be I am not native in English if It could give an example or word on the screen. It would be better.

kalo
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Thank you. Have a doubt. MinMaxScaler - Why training data were done with fit_transform and test data done with the only transform and why not fit is used for test data?

rsrini
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Hello, do i need to install tensor separately even though i have installed anaconda in windows and i am using jupyter notebook.
isn't it enough to give "import tensorflow as tf" as in how we do for "import pandas as pd"

rajnishrajput
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Which programming language should i learn first
Python or c++ or c#

mahendarsinghrathod