convolutional-neural-networks-cnn

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Tyill /sunnet

tiny neural net

machine-learning deep-neural-networks deep-learning artificial-intelligence convolutional-neural-networks convolutional-neural-networks-cnn

UpdatedAug 15, 2021
C++

vincenzosantopietro /Action-Recognition-EfficientNet-TensorFlow

Star5

Simple Action Recognition experimentation with the UCF101 Dataset and EfficientNets.

deep-neural-networks computer-vision deep-learning tensorflow cnn perception convolutional-neural-networks cnn-keras action-recognition keras-tensorflow ucf101 cnn-classification ucf-101 convolutional-neural-networks-cnn tensorflow2

UpdatedOct 18, 2020

sergio11 /brain_tumor_classification_cnn

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🧠 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. 🌐⚡

python machine-learning deep-neural-networks deep-learning tensorflow keras artificial-intelligence dataset medical-imaging neural-networks image-classification convolutional-neural-networks transfer-learning convolutional-neural-networks-cnn brain-tumor-classification transfer-learning-with-cnn healthcare-ai mri-scans

UpdatedJun 21, 2025
Jupyter Notebook

kanchan88 /disease-detection-CNN

Star2

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.

cnn disease convolutional-neural-network convolutional-neural-networks-cnn disease-detection-cnn ann-model cnn-example

UpdatedAug 13, 2020
Jupyter Notebook

Joycechidi /MachineLearning2

Star1

Continuation of my machine learning works based on Subjects....starting with Evaluating Classification Models Performance

natural-language-processing reinforcement-learning deep-learning clustering thompson-sampling dimensionality-reduction apriori hierarchical-clustering k-means-clustering association-rule-learning kernel-pca eclat eval-classification-models-perf upper-confidence-bound-ucb natural-language-processing-algo artificial-neural-networks-ann convolutional-neural-networks-cnn principal-component-analysis-pca linear-discriminant-analysis-lda model-selection--xgboost

UpdatedJul 26, 2018

abhi227070 /Cat-VS-Dog

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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.

machine-learning deep-neural-networks deep-learning python3 deeplearning convolutional-neural-networks convolutional-neural-networks-cnn

UpdatedMar 26, 2024
Jupyter Notebook

AKKI0511 /Traffic-Sign-Recognition

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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.