Simplified interface for doing Deep Learning in TensorFlow (mimicking Scikit Learn)
Hello,
I am a Master's student at Blekinge Tekniska Högskola currently working on my Thesis- "Practices and advantages of submitting images in OSS project feedback."
As a part of this research, we are conducting Survey to get an opinion from the developer's side regarding the feedback received from the users for OSS projects. This survey aims to find the extent to which the characteristics of these images influence the developers in understanding the feedback received. The link to the Survey is provided here: https://lnkd.in/em_YVbC
The total time required to complete the Survey is approximately 15 minutes.
I was working with bert to encode strings, used uncased 768 A-12 model. I guess its not performing well, I mean, look at what I found...
x = "The concept of space is considered to be of fundamental importance to an understanding of the physical universe"
y = "Agriculture is the science and art of cultivating plants and livestock"
These two sentence has cosine score of [[0.7106109]]
I mean, is is something wrong with the model, or something I am doing wrong?
good first issue
and start contributing to them. It is the best and fastest way to familiarize yourself with the codebase! Goodluck :)
Hey @akashnd look into these links, if you could get started with working on any of these issues (whichever you feel would be a good fit for you)
@vishwanath63 @rishishounak @Sheikh-Inzamam @kritikaparmar-programmer @Sudheeradh
Hey @akashnd look into these links, if you could get started with working on any of these issues (whichever you feel would be a good fit for you)
@vishwanath63 @rishishounak @Sheikh-Inzamam @kritikaparmar-programmer @Sudheeradh
hey @Aryaman2912, the first step would be brush up your basic deeplearning concepts ( have knowledge of DNN, CNN, RNN, LSTM ).
after that, I would suggest you to start the tensorflow-in-practice course available on deeplearning.ai (COURSERA).
I've done that, made few projects, and worked on modeling a few anime GANs.