GoogleCloudPlatform / tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.
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Still issues with Tensorflow version #49

Open xgxofdream opened 4 years ago

xgxofdream commented 4 years ago

Hi Martin Thanks for your comments. And sorry to bother you again as a completely beginner in programming.

Well, the thing is, Codelabs says it will soon update Tensorflow version to 2.x...

I am wondering it might be worth to update the code to fit the v.2.0. because the tutorial is very very valuable! If we as beginners can be free of code issues like version, a big progress will be made in one day. In the time of tensorflow 2.x, we still need this valuable tutorial, and it can continue its value that none can replace.

I hope it would not take much time. I even spot some version bugs and updated them though I got stuck with some another errors overnight, like -- invalid Object....

I mean I tried to do it myself, but failed it when it came with some difficult coding. Like this: In file mnistdata.py, I updated it to the followings as suggested from https://www.tensorflow.org/guide/migrate import tensorflow.compat.v1 as tf tf.disable_v2_behavior()

But it turned out an another issue not related to version: invalid Object....

Anyway, many thanks.

gthaker commented 4 years ago

I too would really wish we have Tensorflow version 2.1 (the current version) versio of this tutorial. It is awesome, the lectures have taught me so much.

vagi commented 4 years ago

Have not resolved to the day yet (

christiansoe commented 4 years ago

I started to migrate to TF2.3.0 and hopefully, it will be done in two weeks as I am still learning Tensorflow.

christiansoe commented 4 years ago

I have migrated mnist_1.0_softmax to TF2.3.0 for now and it's in https://github.com/christiansoe/tensorflow-without-a-phd/tree/tf-2 Need to apply my changes to other tutorials. Feel free to work on the branch and we can eventually merge to this main repo hopefully.

martin-gorner commented 4 years ago

Hi Christian

The updated version of this codelab is here: https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist/#0 It uses notebooks instead of plain Python files. Indeed, the Python files from the old version are still there, and they are out of date. Please ignore them and use the new materials.

Best, Martin

On Tue, 10 Nov 2020 at 06:18, Christian Soe notifications@github.com wrote:

I have migrated mnist_1.0_softmax to TF2.3.0 for now and it's in https://github.com/christiansoe/tensorflow-without-a-phd/tree/tf-2 Need to apply my changes to other tutorials. Feel free to work on the branch and we can eventually merge to this main repo hopefully.

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christiansoe commented 4 years ago

hi Martin,

I thought the old version was to configure the model and layers without Keras. For a beginner like me, think it's good to see how to run tensorflow without Keras. Maybe it doesn't make sense since TF won't stay away from Keras. Not sure at all. Anyway, please let me know what you think.

Regards, Christian

PS: your tutorial was great. I had scratched the surface of ML when I was in univ. and your tutorial just refreshed my memory and even much deeper!

martin-gorner commented 4 years ago

Yes, that's a good point.

M.

On Mon, 16 Nov 2020 at 17:53, Christian Soe notifications@github.com wrote:

hi Martin,

I thought the old version was to configure the model and layers without Keras. For a beginner like me, think it's good to see how to run tensorflow without Keras. Anyway, please let me know what you think.

Regards, Christian

PS: your tutorial was great. I had scratched the surface of ML when I was in univ. and your tutorial just refreshed my memory and even much deeper!

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd/issues/49#issuecomment-728634139, or unsubscribe https://github.com/notifications/unsubscribe-auth/AAHKKZ4K7ZOA3OYUT4QVG5DSQHJP5ANCNFSM4J6EMBVQ .

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Martin Görner | Google Developer Relations, ML | mgorner@google.com | +1 425 273 0605