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Image classification with CNNs in Keras | Easy guide

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
Scientific Research Publishing

Innovative XAI Approaches for Predicting Cardiovascular Diseases ()

1 National School of Engineers of Gabes (ENIG), Research Laboratory of Numerical Control of Industrial Processes (CONPRI), University of Gabes, Gabes, Tunisia. 2 National School of Engineers of Sfax ...
IEEE

Gas Classification Using Time-Series to Image Conversion and CNN-Based Analysis on Array Sensor

Abstract: Gas detection is essential in industrial and domestic environments to ensure safety and prevent hazardous incidents. Traditional single-sensor time-series analysis often suffers from ...
IEEE

IMed-CNN: Ensemble Learning Approach With Systematic Model Dropout for Enhanced Medical Image Classification Using Image Channels and Pixel Intervals

Abstract: To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...
GitHub

Tensorboard is not defined

Appearantly, the problem originates from callback= [tensorboard] on main.py. However, the import is not present in the file and it's only found unused in model.py. Am I missing something? For the ...