Extremely useful video. Please keep making more videos. Keep the advt in the video no problem at all we understand you earn little from advt so it is a must. I love your channel. Hit Liked, Subscribed.
Bro the vedio quality is 480p I saw your latest vedio on NLP today can you please try for 720p .and this is the best learning course I saw on UA-cam bro
HI Thanks for watching. The video takes some time to process that's why it was available in less resolution. Now it is available in Full HD 1080p. Please watch it now.
Hi @KGP ,its very nice tutorial regarding tensorflow. It would be great if you share code notebook as well.I am unable to find in the video description.Thank you
Hi, Thanks for watching. I am making notebooks online in descriptive way at kgptalkie.com You can find codes there. Currently ML and Feature Selection notebooks are there. In a week TF notebooks will be also available.
hi, this is a very useful and based tutorial for beginners, so could you share the link of this notebook on git hub, i hope to run the examples one by one. thanks
sir but if we divide by 255.0 then actual values will range between 0-1 and this shud also affect whats shown in graph right??? can u plz explain it more precisely
This is a loss function which will be minimised using back propagation algorithm( it's a technique that optimizes the parameters in the neural net). The dataset used is categorical in nature and therefore one of the most commonly used loss functions for this kind of data is sparse_categorical_crossentropy
Like in Machine Learning we have different models but in deep learning do we also have models? and if we have then this model is which one? can you explain in simple terms.
Deep learning models are customizable. The base layers are CNN, RNN, GRU etc. By using these base layers different kind of architecture can be achieved.
I used pip install tensorflow==2.0.0-rc0 and installed everything it needed, but when I try to run a python script (3.6) I get the annoying error: File "main.py", line 1, in import tensorflow as tf ModuleNotFoundError: No module named 'tensorflow', Im not experienced with python and have no idea what to do lol Edit: Nvm fixed it by removing wrapt, it was preventing tensorflow from being installed correctly
I am sorry if it appeared many times. I have given my time to prepare this lecture so I was expecting if I can earn back something. It is only source of my income. I am sure you would understand it and LIKE ❤️ this video. I have also given link to working file, you can download full code too. Thanks for watching.
Best Tutorials for starter and intermediate coder,Thanks a lot for posting theese videos
wow! You teach in such an easy peasy manner.
your delivery is so smooth and content is very informative
Good series of videos but people expects to start from most basics of tensoflow and its structure. Loved ur series on 2.0
Thank you so much for watching ❤️ 😍
Excelente que gran capacidad didactica.....graias
Extremely useful video. Please keep making more videos. Keep the advt in the video no problem at all we understand you earn little from advt so it is a must. I love your channel. Hit Liked, Subscribed.
Thank you so much for watching ❤️ 😍 😘
Excellent....your crystal-clear explanation makes understanding even the toughest of topics easy to grasp. Thank you so much.
Thank you ❤️ 😍
Amazing tutorial. Very WELL EXPLAINED. Thanks alot sir.
Really professional and clear lessons! I am gonna watch all the videos and trying the examples one by one. Now it is 5th ~
Thank you so much 😇😍🥰. Please keep watching.
Thanks for perfect video! It really helps.
Thank you for this ...wonderful video
❤️ 😍
type(mnist) output is
"module" in my colab cell ? whtat does it mean?
1:50 please make a playlist for data analysis, statistics.
nice video
great video .. love it .. may i know what is the philosophy behind building the flatten and dense models on line 28??!!
Bro the vedio quality is 480p I saw your latest vedio on NLP today can you please try for 720p .and this is the best learning course I saw on UA-cam bro
HI Thanks for watching. The video takes some time to process that's why it was available in less resolution. Now it is available in Full HD 1080p. Please watch it now.
where can I get the ipython working file as the git link offered is 404 not found now?
Great tutorial...
Is pytorch tutorial series possible ?
Hi @KGP ,its very nice tutorial regarding tensorflow. It would be great if you share code notebook as well.I am unable to find in the video description.Thank you
Hi,
Thanks for watching. I am making notebooks online in descriptive way at kgptalkie.com
You can find codes there. Currently ML and Feature Selection notebooks are there. In a week TF notebooks will be also available.
Thanks a lot for this tutorial
Thank you so much for watching ❤️
Please do like the video and subscribe the channel.
@@KGPTalkie I already did, best regards from Greece.
thank you
Sir, you made an awesome tutorial. Will I be able to follow along with VS-Code?
Can't import sklearn.metrics.accuracy_score
help sir...i have added a library of scikit learn but shows an error
Could you provide us with the links to this notebook via Github
Hi. I am getting cuda error when executing. may I know how to install tensorflow with cuda dlls
hi, this is a very useful and based tutorial for beginners, so could you share the link of this notebook on git hub, i hope to run the examples one by one. thanks
Thanks for watching. Please find the code link in video description.
@@KGPTalkie hello, the github link has been removed.
sir but if we divide by 255.0 then actual values will range between 0-1 and this shud also affect whats shown in graph right??? can u plz explain it more precisely
Good series i am gonna watch all videos n
❤️
what this loss = 'sparse_categorical_crossentropy' does?
This is a loss function which will be minimised using back propagation algorithm( it's a technique that optimizes the parameters in the neural net). The dataset used is categorical in nature and therefore one of the most commonly used loss functions for this kind of data is sparse_categorical_crossentropy
Sir, I am working on future trand in tensorflow can you help me to resolve my coding error in tensorflow
can we use pycharm instead of jupyter??
Thanks for watching. Yes you can.
@@KGPTalkie but I am having issue in loading dataset?
Please kindly zoom the video so we can see the code in a clear way.
Thanks for watching. I have increased font size in my later videos. Thanks for your feedback.
@@KGPTalkie I am watching in series will reach that video soon. Thanks for making all these great videos.
I can't Download the working file. the Github page is not found……
also please give some light whats purpose, goal or output of the activity!!
Si lo haces en español..... sería una pasada....
Like in Machine Learning we have different models but in deep learning do we also have models? and if we have then this model is which one? can you explain in simple terms.
Deep learning models are customizable. The base layers are CNN, RNN, GRU etc. By using these base layers different kind of architecture can be achieved.
I used pip install tensorflow==2.0.0-rc0 and installed everything it needed, but when I try to run a python script (3.6) I get the annoying error: File "main.py", line 1, in
import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow', Im not experienced with python and have no idea what to do lol
Edit: Nvm fixed it by removing wrapt, it was preventing tensorflow from being installed correctly
Please use only pip install tensorflow
@@KGPTalkie yeah it was pretty messy, but I managed to get it in the end. Thanks for your help and a wonderful video
When will you start Tensorflow 2.0 Advanced ?
Thanks for watching. I will start one soon.
@@KGPTalkie Thanks, Waiting for your next session focused on Tensorflow 2.00 Advanced.
github link is not working
no module named "matplotlib" why??? I am using tensorflow 2.0
Please install it. pip install matplotlib
You set ads to appear too much
I am sorry if it appeared many times. I have given my time to prepare this lecture so I was expecting if I can earn back something.
It is only source of my income. I am sure you would understand it and LIKE ❤️ this video. I have also given link to working file, you can download full code too. Thanks for watching.
this is not TensorFlow tutorial.
you only explain about Keras.
why don't you use only TensorFlow ??
You should definitely checkout the history of Tensorflow to understand Keras and Tf.Keras