GPU Optimized AlexNet Implementation to train on ImageNet 2012 using Tensorflow 2.x
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Updated
Mar 26, 2023 - Jupyter Notebook
GPU Optimized AlexNet Implementation to train on ImageNet 2012 using Tensorflow 2.x
Using AlexNet neural networks for the classic dataset MNIST
Using Alexnet Architecture for Multiclass Fruit Classification
Neural network (CNN) with TensorFlow [AlexNet architecture] that classifies 4 types of geometric shapes. Validation accuracy ~ 99.3% so nothing impressive here.
The project contains the files related to dataset creation and then training the dataset for flagging the knives and guns in an automatic baggage scanning system.
Detecting eye diseases using AlexNet architecture
Contains template codes of various deep learning models
This repository contains an implementation of the AlexNet model for image classification tasks.
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