Transfer Learning using InceptionResNetV2 to the Augmented Neuroimage Data for the Autism Spectrum Disorder (ASD) Classification, using ABIDE I dataset.
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Updated
Nov 22, 2021 - Python
Transfer Learning using InceptionResNetV2 to the Augmented Neuroimage Data for the Autism Spectrum Disorder (ASD) Classification, using ABIDE I dataset.
End-to-end CNN-based image classification pipeline for plant leaf disease recognition using the PlantVillage dataset, comparing ResNet-18 and EfficientNet-B0 with transfer learning, quantitative evaluation, and Grad-CAM explainability.
Supervised Contrastive Learning for Diabetic Retinopathy Classification
Facial Recognition and Tracking Application using Deep Learning.
It is a autonomous robot equipped with sensors and cameras with deep learning algorithms to monitor and maintain crop health and act as an aid to farmers and huge estate or nursery owners
Predict proteins crystallization conditions using LLMs and transfer learning
🔬 Breast cancer detection web app using VGG16, ResNet50V2 & InceptionV3 CNNs. Upload a mammogram and get instant predictions. Built with Python, TensorFlow & Streamlit.
A TensorFlow/Keras CNN classifier for Fashion MNIST achieving 91% accuracy. Includes model training, evaluation, and visualization scripts.
An Azure based computer vision web app
Behavioral Cloning (project 4 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
The provided code demonstrates transfer learning by adapting a model trained using synthetic data to classify circles, squares, and triangles to classify new shapes like stars and pentagons. By fine-tuning a pre-trained model originally designed for a different task, the repository showcases how to efficiently adapt a model to a new domain.
Augmentation-fused Grad-CAM with LIME/SHAP cross-validation and a 9-metric faithfulness suite for explainable lung CT classification using fine-tuned ResNet50 on IQ-OTH/NCCD
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