neural network

Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Mix Them.

computers and Artificial Intelligence, we had established institutions designed to reason systematically about human behavior — the court. The legal system is one in all humanity’s oldest reasoning engines, where facts and evidence...

Learning Triton One Kernel at a Time: Softmax

Within the previous article of this series, operation in all fields of computer science: matrix multiplication. It's heavily utilized in neural networks to compute the activation of linear layers. Nevertheless, activations on their...

I Measured Neural Network Training Every 5 Steps for 10,000 Iterations

how neural networks learned. Train them, watch the loss go down, save checkpoints every epoch. Standard workflow. Then I measured training dynamics at 5-step intervals as an alternative of epoch-level, and all the...

MobileNetV3 Paper Walkthrough: The Tiny Giant Getting Even Smarter

Welcome back to the Tiny Giant series — a series where I share what I learned about MobileNet architectures. Up to now two articles I covered MobileNetV1 and MobileNetV2. Take a look at references ...

MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant

Introduction was a breakthrough in the sphere of computer vision because it proved that deep learning models don't necessarily should be computationally expensive to realize high accuracy. Last month I posted an article where...

Estimating from No Data: Deriving a Continuous Rating from Categories

has collected data on the outcomes of patients who've acquired “Pathogen A” answerable for an infectious respiratory illness. Available are 8 features of every patient and the consequence: (a) treated at home and...

The Channel-Sensible Attention | Squeeze and Excitation

After we speak about attention in computer vision, one thing that probably involves your mind first is the one utilized in the Vision Transformer (ViT) architecture. Actually, that’s not the one attention mechanism we've...

Google DeepMind’s recent AI will help historians understand ancient Latin inscriptions

To do that, Aeneas takes in partial transcriptions of an inscription alongside a scanned image of it. Using these, it gives possible dates and places of origins for the engraving, together with potential...

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