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gradientinstitute
A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation
Compare different methods on a high dimensional problem: - Random - Learned mean - Learned Normal - Learned Low rank Gaussian
For building deeper and more complex models like Inception and ResNet, ops like [repeat](https://www.tensorflow.org/api_docs/python/tf/contrib/layers/repeat) makes it easy to replicate layers or even blocks of layers (e.g. ResNet blocks). See https://github.com/tensorflow/models/blob/master/slim/nets/inception_resnet_v2.py...
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A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation