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I'd been looking at the Tensorflow Probability library and trying to modify the example in bayesian network example, hoping that I can save checkpoints and then restore them.
I first started tryin…
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I've been working a bit on Bayesian Neural Networks in PyMC3 (here is the blog post: http://twiecki.github.io/blog/2016/06/01/bayesian-deep-learning/). I wonder if it would be possible to use Lasagne …
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I am trying to implement a model using the bayesian lstm layer given I already have a model that relies on lstm and it gets good results for a classification task.
When I use the bayesian layer the l…
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# 🚀 Feature Request
I would like to optimize the hyperparameters on a custom environment for PE-TS and other algorithms.
## Motivation
How did you find the optimal hyperparameters for the alg…
ss555 updated
2 years ago
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Hi Alex and other authors!
Thanks for sharing the code and the amazing work, really loving the idea of saving the maxpooling indexes!
I'm currently trying to implement SegNet (and later, Bayesia…
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I am use tfp *-Flipout layers to construct a Bayesian neural network (BNN) and combine it with keras.fit to train. I am using a very similar way to define a BNN structure as a CNN but the keras.fit() …
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SegNet是Cambridge提出旨在解决自动驾驶或者智能机器人的图像语义分割深度网络，开放源码，基于caffe框架。
- 论文从2015 CVPR 到2017 PAMI 发表了三篇
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- 正常版
- 贝叶斯版
- 添加了dropout layer，种类多样
# Reference
- [ ] [SegNet论文解析](https://www.cnblog…
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### Solution for overfitting:
1. Pre-training (Unsupervised) layer by layer (Greedy: RMB, autoencoder). Rather than random initialization
2. Fine-tuning (supervised)
Drop out:
each hidden unit has a …
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Hello, thanks for providing your code.
I have a question, [LPBNN_layers line 75](https://github.com/giannifranchi/LP_BNN/blob/70f02c99539726256c577104494ac6dd43ced583/networks/LPBNN_layers.py#L75C1…
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The following code
```
import tensorflow as tf
import tensorflow_probability as tfp
from tensorflow_probability import distributions as tfd
def get_mnist_data(normalize=True):
img_rows…
nbro updated
8 months ago