# 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%.
{}
region:us
TAGS
#region-us 

# 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.
"URL" contain the logs of the training.

## Training Details

### Training Data

The files contain the training data images in URL and the data with image names and labels in the URL.

### 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 URL data. The maximum accuracy obtained was 86.88%.
# 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.
"URL" contain the logs of the training. ## Training Details ### Training Data

The files contain the training data images in URL and the data with image names and labels in the URL. ### 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 URL data. The maximum accuracy obtained was 86.88%.
TAGS
#region-us 
 # 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.
"URL" contain the logs of the training. ## Training Details ### Training Data

The files contain the training data images in URL and the data with image names and labels in the URL. ### 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 URL data. The maximum accuracy obtained was 86.88%.
TAGS
#region-us 
# 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.
"URL" contain the logs of the training.## Training Details### Training Data

The files contain the training data images in URL and the data with image names and labels in the URL.### 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 URL data. The maximum accuracy obtained was 86.88%.