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Generating Faces with a Generative Adversarial Networks (GAN) in Keras|Tensorflow 2.0 (7.2)
Generating Faces with a Generative Adversarial Networks (GAN) in Keras|Tensorflow 2.0 (7.2)
Nicholas
December 17, 2019
Updated for Tensorflow 2.0. Implement a Generative Adversarial Networks (GAN) from scratch in Python using TensorFlow and Keras. Using two Kaggle datasets that contain human face images, a GAN is trained that is able to generate human faces.
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python,python introduction,python introduction deep learning,deep learning,neural network,deep neural network,jeff heaton,Keras,TensorFlow,Washington university,wustl,computer vision,Generative Adversarial Network,GAN,keras,GPU,
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