4ca83a3646f5e83a3bd104c408acdb906dd4952c,src/models.py,,simple_CNN,#Any#Any#,8

Before Change

    model.add(Dropout(.5))

    model.add(Flatten())
    model.add(Dense(1028))
    model.add(Activation("relu"))
    model.add(Dropout(0.5))
    model.add(Dense(1028))

After Change

                                                padding="same"))
    model.add(Dropout(.5))

    model.add(Convolution2D(filters=64, kernel_size=(3, 3), padding="same"))
    model.add(BatchNormalization())
    model.add(Activation("relu"))
    model.add(AveragePooling2D(pool_size=(3, 3), strides=(2, 2),

Instances