covolution-neural-network
There are 16 repositories under covolution-neural-network topic.
lizhaoliu-Lec/ImageAestheticAssessmentPyTorch
Image Aesthetic Assessment in PyTorch with implemented popular datasets and models (possibly providing the pretrained ones).
AbhiFutureTech/Keras-ImageClassifier
We will use keras fashion MNIST dataset. This consist of 60000 28X28 pixel images and 10000 test images, these images are classified in one of the 10 categories
lightdarkmaster/potato_disease_classification_mobile_app
This is a Potato Disease Classification Mobile Application Using Flutter Framework and Convolutional Neural Network Artificial Intelligent Model Architecture. Hope you like it
ashx010/Digit_Recognizer
Digit Recognizer using MNIST dataset with Deep Learning Model : CNN.
Leonard2310/KinDeNet
Kinship Detection Network Project - Multimedia Signal Processing (BE), supervised by Prof. L. Verdoliva (2023).
SadhaSivamx/Crop-Disease-Detection
Applying CNN (Convolutional Neural Network) for crop disease classification, aiding precision agriculture and yield protection.
yuyuan871111/OctSurf
This is a copy version from the original source of OctSurf: Efficient Hierarchical Voxel-based Molecular Surface Representation for the Protein-Ligand Affinity Prediction..
HariShanmugavelu/ConvolutionalNeuralNetworks_FaceRecognition
Face identification/recognition model using convolutional neural networks
MarvinMichel/emotion-recognition
Machine Learning project for emotion recognition
Valdarie/AAI1001
The Data Engineering and Visualisation project goal is to develop an MVP of a CNN model with a GUI that predicts heart disease from ECG images, measures the model's performance, and displays the predictions in the GUI.
antonio2505/SuperDataScience_Projects_ML
a hands-on approach to real-life challenges and covers exactly what you need to succeed in the real world of Data Science
hmtalha786/Deep-Learning-Concepts
Basics to Advanced level Deep Learning using Keras and TensorFlow.
MajidKouki/fruit-classification
CNN that classifies fresh and rotten fruit. Transfer learning using the VGG16 model and data provided by Kaggle.
Sanchariii/FaceSense
FaceSense is a machine learning project where when a face is detected through a image or webcam then it can predict its age and gender. Maybe perfect prediction of age can't be made but it can predict close to the actual age.