BIOENGINEER

Deep Learning Model Reads Concrete Bridge Photos and Flags Multiple Defects at Once

A fine-tuned VGG16 network achieved 84.0 percent subset accuracy and an 85.2 percent micro-averaged F1-score on a held-out ...
GitHub

Viral Disease Classification using Deep Learning

Deep learning-based viral disease classification using CNN + ELM on genome sequences. Classifies viruses into 10 families with applications in bioinformatics - srstm/Viral-disease-classification ...
BIOENGINEER

Deep Learning Framework Classifies and Counts Mineral Grains Without Segmentation Labels

A new deep learning framework segments, classifies and counts microscopic mineral grains with 97.57% accuracy without ...
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 ...
GitHub

A Hybrid Deep Learning Architecture for an Intelligent Library Search System with NLP

A Hybrid Deep Learning Architecture for an Intelligent Library Search System with NLP - RiteshPawar05/Smart-Library-Chatbot ...

What is "Transfer Learning" that achieves high accuracy with little data?

In deep learning, a vast amount of training data is usually required. However, in practice, we often hit a wall where we ...