# AlexNet

Submission for coding assignment of Fatima Fellowship.

## Model Details

This is a simple implementation of AlexNet in Keras for the coding assignment of Fatima Fellowship. 

### Model Description

- **Developed by:** Madhav Kumar
- **Model type:** Convolutional Neural Network

## How to Get Started with the Model

The files contains the notebook Alexnet_without_cropping.ipynb. It contains the code that was used to train the model. In the files, "weights-improvement-07-0.87.hdf5" contain the weights of the best model during training.
"logs-20230326T161429Z-001.zip" contain the logs of the training.

## Training Details

### Training Data

The files contain the training data images in train.zip and the data with image names and labels in the train.csv.

### Training Procedure 

I trained the AlexNet model on the training data on Google Colab.

#### Preprocessing

I used data augmentaion to increase the size of training data.

## Evaluation

The model was tested on a validation data which was 20% percent of the train.zip data. The maximum accuracy obtained was 86.88%.