Artist Terence Broad makes AI produce images without any training data at all.

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

Dropout is a commonly used regularization technique primarily aimed at reducing model overfitting. In deep learning models, overfitting refers to the phenomenon where a model performs well on training ...

2 Materials and methods 2.1 SinGAN Shaham et al. (2019) proposed the SinGAN model, which is a non-conditional generative model that learns from a single image to generate images from noise. Like ...

Each small blue arrow represents a neural weight, which is just a number, typically between about -2 and +2. Weights are sometimes called trainable parameters. The small red arrows are special weights ...

So, the bottom line…?? But at least using outputs as inputs and ground as an output was fun. And an afterthought: For higher voltage operation, simply drop in CD4106B metal-gate chips for the 74AC14s, ...

This was an experiment for a possible PhD topic. The main idea was to use different Autoencoder for entity resolution / product matching. The core idea was to pretrain an Autoencoder on the positive ...