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Multiclass image classification using Convolutional Neural Network
Commercial iOS fall detection app. Connects to a Polar H10 device for triaxial acceleromter and ECG signals. These signals are passed to a trained ResNet152 model using Tensorflow background processes for live inference.
Multitask-Learning (hard-parameter sharing) with Vision Transformers on Cifar10 & Cifar100
神经网络模型训练研究学习
Resnet152 Car Recognition Model. Returns manufacturer, year manufactured, model, color.
🪐 Identification characters in Futurama frames - Kaggle Competition 🥉3º position - ResNet152 & Keras/Tensorflow
Facial Expression Recognition can be featured as one of the classification jobs people might like to include in the set of computer vision. The job of our project will be to look through a camera that will be used as eyes for the machine and classify the face of the person (if any) based on his current expression/mood.
Klasifikasi Kanker otak dengan 7 model CNN
Project to detect Diabetic Retinopathy using transfer learning and deep Convolutional Neural Networks.
Проект для обучения модели по классификации автомобилей по марке и модели
Deep learning models, training pipelines, and explainable AI implementations for chest X-ray diagnosis. Contains DenseNet121 and ResNet152 architectures, 5 XAI methods, 270+ experimental configurations, and evaluation metrics for 14 chest pathologies using NIH ChestX-ray14 dataset (112,120 images).
Explore my comprehensive collection of AI models for blood cancer detection. Leveraging deep learning and medical imaging, these models aim to revolutionize early diagnosis and treatment, making a significant impact on the battle against blood cancers. #AI #HealthcareInnovation
Car Model Recognition project with data augmentation and transfer learning option.
This project is in Python for Data Science. I use DeepLearning, fastAPI.
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