PinnedJake HessionLiquid Neural Nets (LNNs)A deep dive into Liquid Neural Networks, one of the most exciting recent developments in time series forecasting7 min read·Feb 6, 2024--6--6
Jake HessionTopology Optimization and Diffusion ModelsExplore how diffusion models and GANs can aid engineering and product design11 min read·May 7, 2024----
Jake HessionDiscrete DistributionsDistributions are great for modeling sequences of events and determining the probability of a certain number of successes or a range of…7 min read·Mar 6, 2024--1--1
Jake HessionRecurrent Neural Networks and LSTMAn introduction RNNs and LSTMs, two of the most common and reliable neural net architecures for sequential tasks.6 min read·Feb 19, 2024--1--1
Jake HessionK-means ClusteringK-means clustering is a common machine learning approach that can help you draw new insights from data2 min read·Feb 9, 2024----
Jake HessionIntro to TinyMLA quick dive into TinyML; boldly going smaller in a field where scaling is all the rage4 min read·Jan 25, 2024----
Jake HessionGetting Started.I can call this my New Year’s resolution, right?1 min read·Jan 19, 2024--1--1