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This project is a great framework. But I have some question to ask.
1. I notice that in preprocessing phase, you crop each image into a box (larger than patch size(112, 112, 80)) according to label m…
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Hi! I hope I'm not mistaken, but it seems like I cannot set an optimizer with different per-layer learning rates. My model really needs it, and I couldn't find an easy workaround. Maybe you could just…
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Link: [Arxiv](https://arxiv.org/pdf/1907.04202.pdf)
Problem:
> Probabilistic ensembles with trajectory sampling (PETS) is a leading type of MBRL, which employs Bayesian inference to …
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Source: https://forum.nengo.ai/t/recurrent-bcm-connection-problems/817/
Minimal reproducer:
```python
import nengo
import numpy as np
with nengo.Network() as model:
mem = nengo.Ensemble(…
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In example 11.1.2, I am not able to understand the calculation of weights on the unconstrained ensemble, if it is based on the training MAEs of the models, then RF > Pen reg > NN > and so on but the w…
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There is currently support for most of the common (and some less common) ML algorithms in Sharp Learning. However, there does appear to be a lack in the area of Reinforcement Leaning and some might ob…
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**Is your feature request related to a problem? Please describe.**
In the forecasting module, the evaluate function currently lets a user use timeseries cross-validation to compare different forecast…
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**[ ID ]** 8694f693-413b-4a42-a042-3709dbd302bd
**[ Submitter's Name ]** Dave Darch
**[ Submitter's Affiliated Organisation ]** A Little Learning with Transformance Music
**[ Submitter's Twitter ]** …
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http://doi.org/10.1080/17460441.2016.1201262
> Introduction: Neural networks are becoming a very popular method for solving machine learning and artificial intelligence problems. The variety of neu…
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related paper
|摘要|
|---|
|Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those us…