nurullahyuksel

3DGAN-Lattice

Deep_learning_CNN

Deep Learning applications

Digit_recognition

Emotion_recognition

Facial expression recognition (fer2013) dataset is trained with CNN architecture. The dataset of human faces is labeled according to their mood. In addition, the model can be tested with real-world photographs.

face_generation_DCGAN

n this tutorial, new face images will be produced using the Facial Expression Recognition (FER2013) dataset. Since this data set includes different emotional states, the data diversity is quite high. This is positive for GAN training. However, since not all photos are taken from the same angle, the success of face production may be affected.

nurullahyuksel/3DGAN-Lattice

nurullahyuksel/Deep_learning_CNN

Deep Learning applications

nurullahyuksel/Digit_recognition

nurullahyuksel/Emotion_recognition

Facial expression recognition (fer2013) dataset is trained with CNN architecture. The dataset of human faces is labeled according to their mood. In addition, the model can be tested with real-world photographs.

nurullahyuksel/face_generation_DCGAN

n this tutorial, new face images will be produced using the Facial Expression Recognition (FER2013) dataset. Since this data set includes different emotional states, the data diversity is quite high. This is positive for GAN training. However, since not all photos are taken from the same angle, the success of face production may be affected.