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

Nice

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

can u give link to dataset

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

@ Simplilearn - can you attach the jupyter notebook or send in an email please.

can u give link to dataset

hey @simplilearn !! Thats really a cool video. Can you attach the jupyter notebook pls?

Great teacher, clarifying all small details. Thanks

Hi, can you send me the source code ?

48m in when you realize that there is no link to the dataset.

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

How do you create a placeholder with the newer versions of tensorflow, because I keep getting errors here

@ Simplilearn - could you please attach the jupyter notebook or send in an email please.

Hi can you email me the data set please?

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.

I am giving this a whirl... Please send me the dataset if that is still possible.

Thanks for the video. is the air_quality data set used publicly available?

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

Could I please have the dataset?

Got an attribute error module TensorFlow' has no attribute 'global_variables_initializer'

Abandoned this tutorial at 48 minutes as no link to dataset given.

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.

Could you send the dataset, please?

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

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 :)

Thank you. It was very helpful.

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

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.

Very good explanations

Did you just say "num-pee" lol. j/k great video

Hi, can I get the Jupiter notebook plz?

Nicely explained. Thank you for sharing your knowledge.

Great video! Thanks for the simple and straightforward explanation.

Love it!

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.

Great class.
Keep up the good work.

Thank You,
Natasha Samuel

Thank you tf 2 for avoiding those horror parts which made me fear Tensorflow

I bet Tensorflow developers have so much love for Matlab

I'm wondering if the objective of the tutorial/model is to just train and predict based on one FEATURE (Temp); why all those bunny trails about humidity, date conversions, quantile distributions, for loops etc. It is clear the instructor is reading the code and pasting it and not knowledgeable about it from the perspective he was good.

Always keep the concepts simple especially if you are passing a single series of data called Temp and trying to predict from it... way over complicated for the end result.