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deep_dream_textual_data's Introduction

Hi there, I'm Shivam! ๐Ÿ‘‹

Shivam Kaushik | Github Shivam Kaushik | LinkedIn Shivam Kaushik's DEV Profile Medium Profile

Hi, I'm Shivam Kaushik, a passionate self-taught Data Scientist.

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NOTE: Top languages does not indicate my skill level or something like that, it's a github metric of which languages i have the most code on github, it's a new feature of github-readme-stats

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deep_dream_textual_data's Issues

Related to activation changes

Hey, Great push.

I was doing boosting on activations for Bert-pre-trained embeddings.
Results::::

Final nodes output: tensor([[ 1.3311, -0.3895]], grad_fn=)
actual: negative Predictions: negative
Dreaming!!
Predictions after boosting:
Final nodes output: tensor([[62.9412, -0.3895]], grad_fn=)
actual: negative Predictions: negative


Final nodes output: tensor([[-0.5708, -0.1172]], grad_fn=)
actual: positive Predictions: positive
Dreaming!!
Predictions after boosting:
Final nodes output: tensor([[ -0.5708, 199.3414]], grad_fn=)
actual: positive Predictions: positive


If you see the results after embeddings boosting, its certainly increasing, but only the actual label part.
for eg: for 1st example its going from 1.3111 -> 62.9412 but positive part is staying the same.
why this is the case?

Note: 1-> positive and 0 -> negative.

Let me know why this is the case, or am I doing something wrong? Thankyou!

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