Hamidkn / Eye-Tracker-using-Neural-Network

Eye-Tracker-using-Neural-Network

Model: "sequential"

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Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 31, 31, 32) 320

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conv2d_1 (Conv2D) (None, 10, 10, 64) 18496

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max_pooling2d (MaxPooling2D) (None, 5, 5, 64) 0

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dropout (Dropout) (None, 5, 5, 64) 0

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conv2d_2 (Conv2D) (None, 1, 1, 128) 73856

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max_pooling2d_1 (MaxPooling2 (None, 1, 1, 128) 0

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conv2d_3 (Conv2D) (None, 1, 1, 128) 147584

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max_pooling2d_2 (MaxPooling2 (None, 1, 1, 128) 0

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dropout_1 (Dropout) (None, 1, 1, 128) 0

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flatten (Flatten) (None, 128) 0

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dense (Dense) (None, 128) 16512

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dropout_2 (Dropout) (None, 128) 0

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dense_1 (Dense) (None, 2) 258

Total params: 257,026 Trainable params: 257,026 Non-trainable params: 0

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