A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture
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Updated
May 12, 2021 - Jupyter Notebook
A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture
Implementation of Alexnet in Keras for CIFAR-10 dataset
Complete introduction to deep learning with various architechtures. Maths involved is also included. Code samples for building architechtures is included using keras. This repo also includes implementation of Logical functions AND, OR, XOR.
This GitHub repository provides code implementations for a Drowsiness Detection Image Classification task, focusing on predicting whether eyes are open or closed. The dataset used in this project is designed for drowsiness detection and includes diverse eye movement recordings captured under controlled driving scenarios.
Tried to implement Alexnet from Scratch on Keras
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