Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Tensorflow Course curriculum, Visit our Website: bit.ly/2r6pJuI Use code "TH-cam20" to get Flat 20% off on this training.
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The best Tensor Flow Tutorial on TH-cam, The flow of teaching by Amit is marvelous. Thank you Edureka. Will you please kindly provide the Jupyter notebook used in the session for reference. It will be of great help.
Hi Sumit, thanks for watching the video. We are working on your request. The video will be out soon. You can also refer to this blog www.edureka.co/blog/install-tensorflow
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Thanks for the compliment Ramesh !Glad you liked it . Stay tuned for future updates . Subscribe our channel and hit that bell icon to get notified ! cheers !
Thanks for the compliment, Andrei! The video is curated around TensorFlow 1.x only. Google has announced version 2.0 Alpha which is currently not used in the industry. For further reference, you can refer to this video th-cam.com/video/3O-5DuqKaRo/w-d-xo.html
This is the best TensowFlow Tutorial i can find on TH-cam, i have watched many others and feel it's too late to find this one. Thanks @edureka! Could anyone share the Jupyter notebook used in the lecture?
Hi, kindly drop in your email id to help us assist you with the required source codes, cheers :)
5 ปีที่แล้ว
Hello I am watching right right(2:33:33) and you are using tensorflow 1.x Why don't you introduce 2.x. I could not find GradientDescentOptimizer function in tensorflow 2.x Gradient descent applies much more differently in tf 2.x
Hi Vignesh, actually this video is curated around TensorFlow 1.x only. Google has announced version 2.0 Alpha which is currently not used in the industry. It has few changes like 1. Eager_Execution by Default 2. Keras_API_Integrated 3. Removed Duplicate Methods 4. Functions instead of Sessions and Much more. For further knowledge you can refer to this video th-cam.com/video/3O-5DuqKaRo/w-d-xo.html
Hey, thanks for watching the video. This video is curated around TensorFlow 1.x only. Check out the video here th-cam.com/video/3O-5DuqKaRo/w-d-xo.html
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Tensorflow Course curriculum, Visit our Website: bit.ly/2r6pJuI Use code "TH-cam20" to get Flat 20% off on this training.
Omg why i am so late on this channel man... This channel is full of valuable treasures
Hey Manoj, we are delighted to know you feel this way about our channel. Do subscribe to the channel and hit the bell icon to never miss an update from us in the future. Cheers!
Same feeling bro
Completed! end to end. Thanks!
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Thanks for this video. concepts are explained in the simplest possible way.
What an amazing tutorial @edureka team
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Thank you.. 🎉🎉.. 😊
Thankyou for so much of valuable videos.You guys are just awesome!
very very well explained
The best Tensor Flow Tutorial on TH-cam, The flow of teaching by Amit is marvelous. Thank you Edureka. Will you please kindly provide the Jupyter notebook used in the session for reference. It will be of great help.
Good to know your learning with Edureka :) please share your mail id to share the data sheet! We'll Update you soon !
Nice Content Delivery with good explanation sir 🙏🙏🙏💖💖💖
Good To know our videos are helping you learn better :) Stay connected with us and keep learning ! Do subscribe the channel for more updates : )
What a great tutorial,! I'ver rarely seen complex concepts so well explained. Thanks a lot!
Thanks for the compliment, Rafael! Don't forget to subscribe our channel th-cam.com/users/edurekaIN.
Plz do make a video for tensor flow installation
Hi Sumit, thanks for watching the video. We are working on your request. The video will be out soon. You can also refer to this blog www.edureka.co/blog/install-tensorflow
Amit very nice and impressive tutor thanks!!!!!!!
thks very much. what about the tensor graphical representation and decomposition
Thanks for showing interest in edureka kindly visit the channel for more videos our content creators are eagerly waiting for your suggestion to make new videos on your interest :) DO subscribe for the video update
wonderful tutorial 😇😇
Thanks You😊 Glad it was helpful!!
*Always impressive as usual 💕*
Hey Arindam, thanks for the appreciation. We are glad to have learners like you on-board with us. Cheers!
Hats of edureka
Thanks for the compliment Ramesh !Glad you liked it . Stay tuned for future updates . Subscribe our channel and hit that bell icon to get notified ! cheers !
Heavenly Experience
great learning
Thanks a lot sir.. You have done a great job
Thanks for this video
Most welcome
Its a very good seesion for begineer, Thanks edurekha
Nice 👍
Wow I think this video will help a lot ! But is it with tensforflow or tensorflow 2.0 ?
Thanks for the compliment, Andrei! The video is curated around TensorFlow 1.x only. Google has announced version 2.0 Alpha which is currently not used in the industry.
For further reference, you can refer to this video th-cam.com/video/3O-5DuqKaRo/w-d-xo.html
great video, thanks for sharing.
Plz make on C++
Actually not needed, because tensorflow backend ia written in c++
This is the best TensowFlow Tutorial i can find on TH-cam, i have watched many others and feel it's too late to find this one. Thanks @edureka! Could anyone share the Jupyter notebook used in the lecture?
Hi, kindly drop in your email id to help us assist you with the required source codes, cheers :)
Hello I am watching right right(2:33:33) and you are using tensorflow 1.x Why don't you introduce 2.x. I could not find GradientDescentOptimizer function in tensorflow 2.x
Gradient descent applies much more differently in tf 2.x
TensorFlow 2.0 is still in its alpha form. Once it's fully functional, we will get back with TF 2.0
I am frist put like
👍
can we have the code snip of this?
Hi, kindly drop in your email id to help us assist you with the required source codes, cheers :)
Is this over tensorflow 2.0 ?
Hi Vignesh, actually this video is curated around TensorFlow 1.x only. Google has announced version 2.0 Alpha which is currently not used in the industry.
It has few changes like
1. Eager_Execution by Default
2. Keras_API_Integrated
3. Removed Duplicate Methods
4. Functions instead of Sessions and Much more.
For further knowledge you can refer to this video th-cam.com/video/3O-5DuqKaRo/w-d-xo.html
is this Tensorflow 2.0
Hey, thanks for watching the video. This video is curated around TensorFlow 1.x only. Check out the video here th-cam.com/video/3O-5DuqKaRo/w-d-xo.html