Multiclass image classification using Convolutional Neural Network
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Updated
Aug 11, 2024 - Jupyter Notebook
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.
神经网络模型训练研究学习
Resnet152 Car Recognition Model. Returns manufacturer, year manufactured, model, color.
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.
Multitask-Learning (hard-parameter sharing) with Vision Transformers on Cifar10 & Cifar100
Project to detect Diabetic Retinopathy using transfer learning and deep Convolutional Neural Networks.
Klasifikasi Kanker otak dengan 7 model CNN
🪐 Identification characters in Futurama frames - Kaggle Competition 🥉3º position - ResNet152 & Keras/Tensorflow
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.
Проект для обучения модели по классификации автомобилей по марке и модели
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