forward pass
forward pass on Beyond Market Intelligence: a running collection of one story we have gathered and hand-picked because they are worth your time. Every post here touches on forward pass in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around forward pass, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
8 inputs → 58 body params: putting a body-model forward pass inside the training loss [P]
In this project, we propose an innovative approach to predicting 58 body shape parameters from just eight inputs, including height, weight, and body type. Utilizing a small MLP model, we integrate a body model forward pass directly into the training loss, enabling precise predictions that align closely with user-provided height and weight. This method results in significant accuracy improvements over traditional approaches, showcasing how thoughtful architecture and loss functions can transform data modeling.
Implementation details of Backpropagation in Siamese networks. [D]
Backpropagation in Siamese networks can be implemented in different ways, and understanding the correct approach is crucial for effective training. One method involves processing inputs sequentially, computing loss for the last two inputs, and updating weights afterward. Alternatively, a simultaneous approach uses two identical networks, allowing both inputs to be processed together. In this case, loss is backpropagated for both networks, and their weights are updated using an aggregate of both.