1 hour 41 minutes
Course DescriptionIn this course you will get introduced to Generative Adversarial Networks(GAN) and its basic components along with some of the use cases of GAN. This course is part of The Deep learning with TensorFlow learning path– complete this path to build and deploy Deep learning models using TensorFlow.
- Prior knowledge and experience in Machine Learning and Python is assumed. Completion of the following courses is a mandate: Building Blocks of Deep Learning, Neural Networks, Image Recognition with Convolutional Neural Networks (CNN), Deep Learning for Text: Embeddings, Deep Learning for Sequences, Advanced RNNs.