Search Results

4 matches found for 'neural networks'

RNN - Recurrent Neural Networks

... and depend on more contextual information that a feed-forward neural network (the simplest of neural networks) can't handle. Contextual Example: Japan is where I grew up, but I now live in Chicago.

November 15, 2020

CNN - Convolutional Neural Networks

Intuition Compared to RNN, CNN tackles a different kind of issue. When working with images or data that has spatial structure, it turns out that the conventional way of converting the input data to a 1D array (a flattened version) produces some lackluster results.

November 23, 2020

Machine Learning Basics

... houses with greater sq. ft (feature) Models are used for supervised learning (i.e. regression, neural networks) Models learn from training data to become trained models Trained models are evaluated with testing data Fitting Models are fitted with training data.

January 5, 2020

2023's EOY Tech Buzz Words

... Transformer. In simple terms, it is a type of large language model (LLM) that uses large neural networks under the hood. What's more crucial when talking about GPT is to understand that "ChatGPT" is not the same as "GPT".

December 27, 2023