Octo

Deep learning model for recognising pets, especially:
CATS DOGS WEIRDOS (Resembles both as a cat or a dog) :)

I have explained my project by breaking down it into simpler parts.

• Description
• Technologies used
• Contact-info

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Description

Step-1:Initially I imported the following libraries:
1.Tensorflow
2.ImageDataGenerator from Keras

Then the data to be utilized was pre-processed in data preprocessing step

   <br><br>

Step-2:Preprocessing the test set and training set respectively by creating respective objects and instance from imagedatagenerator.

Step-3:After performing the above steps it's time to build our CNN model.
This itself inovolves diving deepinto mathematics by breaking down inti following steps:
1.Convolution
2.Pooling
3.Adding a second convolutional layer
4.Flatterning
5.Full connection
6.Output layer

Step-4:After specifying the test set and training set, building of CNN model was done as per the below mentioned steps:

Step-5:Now, prediction was done by giving a weird image of cat were the model satisfactorily gave accepted result


Test image

Predicted Result:

Technologies

• Tensorflow
• Keras
• Jupyter Notebook

Author Info

• E-mail - [shubhangini2203@gmail.com]
• Website - Shubhangini

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