**triggered**

Master thesis in ML 2018: successfully followed the "Deep MNIST for Experts" TensorFlow guide

Trained a hand digit recognition model on MNIST dataset.Got ~97℅ accuracy (wohoo!).Tried predicting my digits,its fucked up! Every ML model's story (?)

I feel really lost in neural network theory.
the mnist sample made sense, but now I'm looking at Gans and CNN's.. and now all of a sudden I'm lost.

True also are the examples I'm finding of something I know I was able to get to work when more at peace once upon a time called wavenet for text to speech.

I used the Onyx model however which was very easy to implement, but I quickly get lost looking at the tensorflow and pytorch code, even though it is very short I feel intimidated.

The ssd mobilenet documentation also is pretty straightforward, but when I look for wavenet information about providing input in what format and interpreting output I'm having some trouble.

Its frustrating.
I'm tense, I'm poorly rested, I'm sick of having to redo crap and I'm surrounded by people who make me hypervigilant, skin crawly and tense.

How to overcome these things when I'm not at peace at all ?

I don't know. Pushing through it isn't compatable with the mindset I've been forced into.