<commit_before># Large Scale GAN Training for High Fidelity Natural Image Synthesis

## Loss Function

* used ``sce loss`` with D/G nets.

## Architecture Networks

* Same with the BigGAN paper.

## Tensorboard

![result](./biggan_tb.png)<commit_msg>update: readme<commit_after># Large Scale GAN Training for High Fidelity Natural Image Synthesis

## Loss Function

* used ``* loss`` with D/G nets.

## Architecture Networks

* Similar with the BigGAN paper.

## Tensorboard

![result](./biggan_tb.png)
{'fraction_non_alphanumeric': 0.11155378486055777, 'fraction_numerical': 0.0, 'mean_word_length': 4.588888888888889, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '7342851', 'n_tokens_mistral': 167, 'n_tokens_neox': 149, 'n_words': 55}