jtoy / awesome-tensorflow Goto Github PK

This book should be added:

Deep Learning (Adaptive Computation and Machine Learning series) Hardcover – November 18, 2016
by Ian Goodfellow (Author), Yoshua Bengio (Author), Aaron Courville (Author)

This is a great read, very helpful!

Can be found on Amazon.

Here's the invite link to the global Tensorflow User Group Slack channel (tensorflow-user-group.slack.com): https://join.slack.com/t/tensorflow-user-group/shared_invite/MjE5MzM5ODUxMDI3LTE1MDEzMDcyODItYTU3MzBjZmJjNw

CS20 SI: TensorFlow for DeepLearning Research

Syllabus http://web.stanford.edu/class/cs20si/syllabus.html

Contains slides + notes + assignment code, but no video unfortunately.

Examples :

• slide http://web.stanford.edu/class/cs20si/lectures/slides_09.pdf
• note http://web.stanford.edu/class/cs20si/lectures/notes_09.pdf
• code https://github.com/chiphuyen/tf-stanford-tutorials/tree/master/assignments/style_transfer

Hi @jtoy

This sub tittle "Why TensorFlow will change the Game for AI" link broken.
Could you find the correct source?

Let there be Color! Automatic Colorization of Grayscale Images - A novel technique to automatically colorize grayscale images that combines both global priors and local image features

This project is written with Torch7.

C-Shopping-RN APP

This is a complete App developed by React Native (Expo). It is a beautiful e-commerce shopping application.

Use technology

• React Native
• Redux Toolkit
• RTK Query
• Expo Router
  -NativeWind

App open source address: https://github.com/huanghanzhilian/c-shopping-rn
Full stack open source address: https://github.com/huanghanzhilian/c-shopping

RT

Hi,

What about Tensorflow Model Zoo (similar to Caffe Model Zoo)?
I would like to contribute with converted VGG Face weights https://github.com/pavelgonchar/vgg-face-tensorflow

Also please check out tensorflow/tensorflow#6

Thanks,
Pavel

Hi,
In "IMAGE CAPTIONING", we have given beamsize as 3,as it generating 3 captions for that particular image, but it is generating duplicate captions twice or thrice with different p value,

In the below output 0,2 are same captions with different p value..

can anyone help me out how to avoid duplicate captions and to get unique captions for particular image..

OUTPUT:
INFO:tensorflow:Successfully loaded checkpoint: model.ckpt-102000
Captions for image = 3.jpg
0) a group of people standing around a table (p=0.019730)
1) a group of people standing in a room . (p=0.026106)
2) a group of people standing around a table . (p=0.028524)

Hi, @jtoy ,

Would you also add a section for IDE, tools selection?
And which IDE do you always use for tensorflow development?

THX~

https://github.com/kevinhughes27/TensorKart
This is a really cool one, please add it to the project list.