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GitHub topics: convolutional-neural-networks-cnn

sergio11/brain_tumor_classification_cnn

🧠 AI-Powered Brain Tumor Classification (PoC) 🚀 A personal project exploring the use of convolutional neural networks (CNNs) and transfer learning to classify brain tumors from MRI scans. Designed as a proof of concept for fast, automated, and accurate medical image diagnostics. 🌐⚡

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 0

Tyill/sunnet

tiny neural net

Language: C++ - Size: 85.6 MB - Last synced at: 20 days ago - Pushed at: almost 4 years ago - Stars: 62 - Forks: 24

AKKI0511/Traffic-Sign-Recognition

Traffic sign recognition using deep learning. Implemented and compared custom CNN and transfer learning models (ResNet50, MobileNetV2) with comprehensive evaluation metrics. Achieved 98.8% accuracy with a focus on real-world efficiency.

Language: Jupyter Notebook - Size: 171 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

abhi227070/Cat-VS-Dog

Cat VS Dog Classifier: Train a machine to identify whether an image contains a cat or a dog with up to 96% accuracy using deep learning techniques and the VGG16 model.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kanchan88/disease-detection-CNN

The Cell can certain features than help doctors to make decision whether you can a certain disease or not. ANN model will take long time for image classification and can only work in images concentrated in center. Here is how you do using CNN(Convolutional Neural Network). CNN is the expanded version of ANN.

Language: Jupyter Notebook - Size: 338 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

vincenzosantopietro/Action-Recognition-EfficientNet-TensorFlow

Simple Action Recognition experimentation with the UCF101 Dataset and EfficientNets.

Size: 66.1 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 3