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Happy-Sad-Face-Classifier

Amarjeet Sarma

Amarjeet Sarma

Guwahati, Assam

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  • 0 Collaborators

CNN model to classify happy and sad faces. ...learn more

Project status: Concept

Artificial Intelligence

Code Samples [1]

Overview / Usage

Implementation of a CNN model in Keras to identify happy and sad faces.

Methodology / Approach

The model in a nutshell :

INPUT
-> | zero_padding((3, 3)) -> conv2D(32, (7, 7)) -> batchNorm -> relu -> maxPool((2, 2)) |
-> | zero_padding((2, 2)) -> conv2D(64, (5, 5)) -> batchNorm -> relu -> maxPool((2, 2)) |
-> | zero_padding((1, 1)) -> conv2D(128, (3, 3)) -> batchNorm -> relu -> maxPool((2, 2)) |
-> | conv2D(64, (1, 1)) -> batchNorm -> relu |
-> | zero_padding((1, 1)) -> conv2D(32, (3, 3)) -> batchNorm -> relu -> maxPool((2, 2)) |
-> | Flatten -> dense_layer_1(128, sigmoid) -> dense_layer_2(32, sigmoid) -> dense_layer_3(1, sigmoid) |
-> OUTPUT

Looks messy here. The one in the GitHub repo readme file might look better.

Technologies Used

Keras, NumPy

Repository

https://github.com/amarjeet987/Are-You-Happy

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