BIOENGINEER

Deep learning reads EEG spectrograms to sort seizure types

A study tested nine deep learning models on time-frequency images of EEG signals, with Mel-spectrogram features paired with ...
BIOENGINEER

Deep Learning Model Reaches 98.39% Accuracy in Cotton Leaf Disease Classification

A hybrid ConvNeXt and Random Walk Grey Wolf Optimizer framework classified six categories of cotton leaf conditions with ...
Semiconductor Engineering

Using Deep Learning ADC For Defect Classification For Automatic Defect Inspection

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...

3 Essential Books for Learning Deep Learning with Keras

Introduction A few years ago, when I was tasked with an in-house PoC for image classification, I took sample code for transfer learning and ran it almost as-is. The training ran. The accuracy stopped ...