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Hello! I read in the paper that the network is also able to generate noise: "Further, via manipulating the noisy latent representation, InvDN is also able to generate noise more similar to the origina…
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## Educational
https://towardsdatascience.com/weight-initialization-techniques-in-neural-networks-26c649eb3b78
# Task
e.g. our DenseLayer implement the HE-Weight Initialization. In some cases …
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I read your paper 'A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns'. I would like to reproduce the result from this paper by training the …
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' Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data' (TOIS'17)
In section 5.1.1Datasets of this paper, there says "We randomly split the public dataset in…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Airlines Delay Prediction
:red_circle: **Aim** : Airlines Delay Prediction is a machine learning pro…
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It'd be great to have high profile model examples which we can highlight on the front page. Some ideas:
- [x] Bayesian linear regression
- [x] Hierarchical generalized linear model
- [x] Mixture mo…
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## Description and motivation
I'm trying to make inference with different timesteps on a neural network that's trained with Feedback Alignment from biotorch, however it is showing the same accuracy…
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I have a deep neural network model in a file called param_optimizer.py and I import the dimensions and the neural network's name to the file where I run gp_minimize():
````py
from skopt import gp_…
ISipi updated
3 years ago
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Hi everyone, thanks for the great library and apologies in advance for this basic question.
I'm trying to find the true minimum of a small neural network, and I thought of using a solver from `optimi…