A Deep Learning Model which used for classification of Male and Female. The Accuracy it reach upto 97%. It train on 25000 data where 12500 is Male's images and 12500 is Female's images.
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"Gender.h5" has reached to the accuracy upto 97% with 3 channel image run for 20 epochs. Shape it used is (1,60,60,3)
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"Gender2.h5" has reached to the accuracy upto 98.5% with 3 channel image run for 20 epochs. Shape it used is (1,128,128,3)
Loss :- Sparse_categorical_crossentropy
Activatiion on last layer :- softmax
Hence, Both are train on a different image size that are: 1) Model 1: 60px / 60px 1) Model 2: 128px / 128px
