Skip to content
This repository has been archived by the owner on Jan 28, 2020. It is now read-only.

msrkp/MangoLeafOrNot-Binary-Classification-using-Keras

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MangoLeafOrNot-Binary-Classification-using-Keras

In this model I've used Convolutional Neural Network to classify the leaves of mangoes from other leaves.

Mango = 1 Other = 0

Summary of the Model

Layer (type) Output Shape Param

conv2d_4 (Conv2D) (None, 148, 148, 32) 896


activation_6 (Activation) (None, 148, 148, 32) 0


max_pooling2d_4 (MaxPooling2 (None, 148, 74, 16) 0


conv2d_5 (Conv2D) (None, 32, 72, 14) 42656


activation_7 (Activation) (None, 32, 72, 14) 0


max_pooling2d_5 (MaxPooling2 (None, 32, 36, 7) 0


conv2d_6 (Conv2D) (None, 30, 34, 64) 4096


activation_8 (Activation) (None, 30, 34, 64) 0


max_pooling2d_6 (MaxPooling2 (None, 30, 17, 32) 0


flatten_2 (Flatten) (None, 16320) 0


dense_3 (Dense) (None, 64) 1044544


activation_9 (Activation) (None, 64) 0


dropout_2 (Dropout) (None, 64) 0


dense_4 (Dense) (None, 1) 65


activation_10 (Activation) (None, 1) 0

Total params: 1,092,257 Trainable params: 1,092,257 Non-trainable params: 0


About

Binary Classification(Mango Leaf/other)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages