Upload neural_image_classifier_model.pth

The Kernel Neural Image model Convolutional Neural Network alone achieves accurate results on predicting laughter vs. non-laughter when an input image of the live kernel brain is used as input to the network. The model uses pre-trained weights from resnet-18 as well as frames from the Lex Fridman podcast.

The dataset is available [here](https://huggingface.co/datasets/evdev3/kernel-neural-data):

from datasets import load_dataset

# Login using e.g. `huggingface-cli login` to access this dataset
ds = load_dataset("evdev3/kernel-neural-data")

neural_image_classifier_model.pth

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