Publication

Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 μm Technology

Related publications (36)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Adaptive Weight Change Mechanism for Kohonens's Neural Network Implemented in CMOS 0.18 μm Technology

Graph Chatbot

Chat with Graph Search

Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

Artificial Neural Network Training on an Optical Processor via Direct Feedback Alignment

Deep Learning Generalization with Limited and Noisy Labels

Predicting nonlinear optical scattering with physics-driven neural networks

An exact mapping from ReLU networks to spiking neural networks

Learned Compressive Representations for Single-Photon 3D Imaging

Deep Neural Networks With Trainable Activations and Controlled Lipschitz Constant

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks