TensorFlow 2.0 Tutorial For Beginners | TensorFlow Demo | Deep Learning & TensorFlow | Simplilearn

TensorFlow is one of the most commonly used frameworks for deep learning. This TensorFlow 2.0 Tutorial covers everything from basics to advanced. You will learn what TensorFlow is, and the different applications of TensorFlow. You will understand tensors and how a computational graph works. You will get an idea about TensorFlow's architecture and perform a hands-on demo on LSTMs using the air quality dataset.

00:00:00 Deep Learning Frameworks
00:01:32 What Is TensorFlow?
00:01:53 Features of TensorFlow
00:03:44 TensorFlow Applications
00:06:18 How TensorFlow Works?
00:07:44 TensorFlow 1.0 vs 2.0
00:15:25 TensorFlow 2.0 Architecture
00:21:07 TensorFlow Demo

#TensorFlowTutorial #TensorFlowTutorialForBeginners #DeepLearningWithTensorFlow #TensorFlowExplained #ArtificialIntelligence #DeepLearning #Simplilearn

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[SimplilearnOfficial]

Thanks for watching the video. The link for the dataset used in the video is provided in the description. Thanks!

[jonathansgarden]

You break down EVERYTHING just in case we don't know a basic term. This is very good and I appreciate it

[samueldushimimana]

We are so thankfully for this course, for sure Tensorflow is really essential nowadays.

[ben]

I remember struggling with this 5 years ago. I wish you were there then. (the tensor stuff)

[MrXXAntonXx]

Honestly, I wish this tutorial was a bit more focused. You are patient in your explanations, but I really would have liked more on the model set up in TF with maybe a quick sketch on how the network you build looks like. Instead you talked a lot about pandas formatting and visualization which doesn't fit the title of the video.

[fkwoysb]

Really talented teacher, detailed, easy to follow explanations, THANK YOU!!

[TorontoWangii]

Great video! Thanks for the simple and straightforward explanation.

[datapro]

Excellent video. I am wondering why you didn't post the Jupyter notebooks. It's a little tedious having to type everything in to follow your examples. Thanks for posting - I learned a lot.

[amirtaghavy]

Great start and clear explanation of the big picture and process flow... too much beating around the bush on non-relevant topics (e.g., data curation) in the mid sections of video.

[nakulmali]

Thanks Simple learn for this video. Many time I comment to upload this video and finally you upload it. Really thanks lot

[TheSakella]

Great teacher, clarifying all small details. Thanks

[natashasamuel]

Great class.
Keep up the good work.

Thank You,
Natasha Samuel

[medinikb]

Nicely explained. Thank you for sharing your knowledge.

[reeddowns]

Great Video! I'd rather not share my email on YouTube. How else can I view the notebook?

One suggestion-- the csv file in the google drive provided is all in one column. A quick fix is to open notepad and replace all spaces with commas.

[aaronlowe]

20:46 How is it running 10 + 20 when you're saying run(y) and not run(z)?
Wouldn't this just be "20"? How would it know to add??

My background is in Lua object-oriented-programming, so Python only makes remote sense to me.
Not sure if this is a bug or just how it works.

[sairamteja]

great tutorial but where can i get the notebook and data set

[toxicboy]

This is one of the best tutorials I have found, I am a bit disappointed that the data set is not provided and has to be emailed. I have been following along very diligently and now can't proceed.

[eclypse]

Why is the input size the LSTM (1, look_back) when trainX is formatted like [samples, time steps, features]? Shouldn't it be size=(lookback, 1)? Will like and subscribe for an answer :)

[walternathaniel]

Got an attribute error module TensorFlow' has no attribute

[dongyufeng]

Hi, can I get the Jupiter notebook plz?