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The Complete Guide to Generative Adversarial Networks [GANs]
| | dennybritz.com
Deep Learning ideas that have stood the test of time ยท Denny's Blog
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| | Deep Learning is such a fast-moving field and the huge number of research papers and ideas can be overwhelming.
| | neptune.ai
Generative Adversarial Networks and Some of GAN Applications: Everything You Need to Know
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| | The generative models method is a type of unsupervised learning. In supervised learning, the deep learning model learns to map the input to the output. In each iteration, the loss is being calculated and the model is optimised using backpropagation. In unsupervised learning, we don't feed the target variables to the deep learning model like...
| | www.unite.ai
Generative vs. Discriminative Machine Learning Models - Unite.AI
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| | Some machine learning models belong to either the generative or discriminative model categories. Yet what is the difference between these two categories of models? What does it mean for a model to be discriminative or generative? The short answer is that generative models are those that include the distribution of the data set, returning a []
| | dustintran.com
MuProp: Unbiased Backpropagation for Stochastic Neural Networks | Dustin Tran
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| Having recently finished some papers with Rajesh Ranganath and Dave Blei on variational models [1] [2], I'm now a bit free to catch up on my reading of recen...