Using CNN model to recognize the facial keypoints over different faces in the image

The CNN structure has a unique structure that contains five convolution layers with composed Pulling Convolution Layers for compasing features.

• Normalizing the image to binary image and keypoints in range -1~1
• Rescaling the images to 224x224
• Random crop
• Random rotation about 15 degres

Using Adam optimizer and Smooth L1 Loss as a regression loss function.