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| InceptionNet | 61% |
| EfficientNet | 54% |

# Representation of breeds of snakes
![EDA](https://github.com/the-silent-geek/DL-Simplified/blob/97358a7e149e84235180ddcc30f8a9d9f4462b77/Snake%20Breed%20Identification/images/snakes.png)
# Representation of diseases of cassava leaves
![EDA](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/diseases.png)

# Counts of each species
![values](https://github.com/the-silent-geek/DL-Simplified/blob/97358a7e149e84235180ddcc30f8a9d9f4462b77/Snake%20Breed%20Identification/images/value%20counts.png)
# Counts of disease cases
![values](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/bar%20plot.png)

# Random images from the dataset
![ri](https://github.com/the-silent-geek/DL-Simplified/blob/28d3fb0417b830c98b821c12803e65e19a221f52/Snake%20Breed%20Identification/images/random%20images.png)
# Pie chart for the count of cases
![ri](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/pie%20chart.png)

# Orignal image vs grayscale image
![ovsg](https://github.com/the-silent-geek/DL-Simplified/blob/28d3fb0417b830c98b821c12803e65e19a221f52/Snake%20Breed%20Identification/images/original%20vs%20grayscale.png)
![ovsg](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/gray.png)

# Original vs Resized image(224*224 pixels)
![ovri](https://github.com/the-silent-geek/DL-Simplified/blob/28d3fb0417b830c98b821c12803e65e19a221f52/Snake%20Breed%20Identification/images/original%20vs%20resized.png)
![ovri](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/original%20vs%20res.png)


# Accuracy and plots of all models

## Vgg16
![vgg16](https://github.com/the-silent-geek/DL-Simplified/blob/97358a7e149e84235180ddcc30f8a9d9f4462b77/Snake%20Breed%20Identification/images/vgg16.png)
## InceptionNetV2
![inv2](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/inceptionNet_1.png)

## DenseNet
![densenet](https://github.com/the-silent-geek/DL-Simplified/blob/97358a7e149e84235180ddcc30f8a9d9f4462b77/Snake%20Breed%20Identification/images/densenet.png)
![densenet](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/denseNet.png)

## ResNet
![resnet](https://github.com/the-silent-geek/DL-Simplified/blob/97358a7e149e84235180ddcc30f8a9d9f4462b77/Snake%20Breed%20Identification/images/resnet.png)
## ResNet50
![resnet](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/ResNet50_1.png)

## EfficientNet
![effnet](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/efficientNet_1.png)

## MobileNet
![mnet](https://github.com/the-silent-geek/DL-Simplified/blob/a3ed67cd7eaae3e9c9c4e25c9316a484083387c3/Cassava%20Leaf%20Disease%20Classification%20using%20DL/images/mobileNetV2_1.png)

# Conclusion
DenseNet201 model performs better comparative to other models used on the above dataset.
DenseNet model performs better comparative to other models used on the above dataset.

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