TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
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Updated
Jan 19, 2019 - Python
TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
Neural network (CNN) with TensorFlow [AlexNet architecture] that classifies 4 types of geometric shapes. Validation accuracy ~ 99.3% so nothing impressive here.
This repository contains classification of Intel image dataset with numerous algorithms. Enjoy 🙂
AlexNet Implementation in PyTorch
This repository is a comprehensive exploration of image classification methodologies using CNN architecture, such as a dynamic Residual CNN and AlexNet model. Through PyTorch implementation, hyperparameter tuning, and detailed training scripts, the repository emphasizes robust image classification techniques with a focus on diverse scenes.
Convolutional Neural Net implementation using pytorch for CS7GV1
Implementation of different CNN architectures
Feature extraction network using AlexNet and TensorFlow to use on the German Traffic Sign Recognition Benchmark dataset
Implementation of AlexNet through a Transfer Learning Approach over CIFAR-10 Dataset using PyTorch from Scratch, presenting an accuracy of ~87%
Dogs Image Classifier classifies pet images to dogs and not dogs and identify the breeds of the classified dogs using transfer learning via PyTorch pretrained models.
🥸✅ 🐵❌Developing a babysitting algorithm to preprocess CIFAR10 and FDDB Dataset and train them on Alexnet using Pytorch
Python code to read the files from a folder and classify the animal images
👳🏾♂️ Comparing accuracies of different convolutional neural networks for the task of classifying Indians into North and South Indians
pytorch on using tuberculosis dataset
Create a Convolutional Neural Network using TensorFlow.
Deep Learning Implementations for Predicting Movie Genres using Poster Images.
In this paper I introduce a new oral lesion database that I created by scraping Images from research papers and dentists online. Next, I showcase a novel method for generating NxN pixel samples from human lips by isolating the labial fissure via image segmentation induced via the Kmean algorithm. I experiment with a variety of convolutional neur…
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