Distinguish bees from wasps
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Updated
May 18, 2021 - Jupyter Notebook
Distinguish bees from wasps
Developed a deep learning-based project to classify FSK signals from NON-FSK signals
Deep Leaning for Classification of drone signals.
PulmoDetect Image Analysis
Trap Camera with positioning system and classification of images by animal species
This project focuses on the task of image classification using datasets sourced from Kaggle. The primary goal of this repository is to evaluate the performance of two neural network architectures, AlexNet and VGG16, and to draw comparisons between these methods.
A breast cancer analysis project using advanced image processing techniques. This research employed CNNs, specifically VGG16, DenseNet121, and ResNet150V2, to analyze histopathological images from the BreakHis dataset on Kaggle, enhancing breast cancer detection and classification.
In modern healthcare, skin cancer detection through advanced image analysis is a major issue.This research classifies dermatoscopic images of skin lesions into seven categories, each indicating a different skin cancer.
This is a project for the udacity nano degree on neural networks and this involves a dog breed classifier using CNN.
In this repo i am implementing a paper of style transfer from scratch using Tensorflow
Implementation of deep learning and transfer learning models.
This repository shows how to do both Transfer Learning and Fine-Tuning using the Keras API for Tensorflow.
For estimating age or gender kinda info, we need deep networks rather than shallower ones.
In this example, we will package a CNN Application using VGG16 model
Machine Learning Project
Predicted the genre of the book from its cover using convolution neural networks.
Brain tumor detection and prediction using keras vgg-16
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