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### 🚀 The feature, motivation and pitch
Oscillating activation functions enable the neurons to learn the XOR function without manual feature engineering. With this kind of activation function, a si…
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> Single-cell transcriptome measurements can reveal unexplored biological diversity, but they suffer from technical noise and bias that must be modeled to account for the resulting uncertainty in down…
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I wrote these comments somewhere else:
" Quantization is the enemy of evolution
It is fortunate that biological systems are heavily quantized, especially in bacteria and viruses. An…
ghost updated
11 months ago
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**Abstract**
There are various neural network frameworks, libraries and APIs available,and so its quite difficult to choose the best for the project. Still Keras is the most favourable.
**About*…
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>Parameterizing the approximate posterior of a generative model with neural networks has become a common theme in recent machine learning research. While providing appealing flexibility, this approach…
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Published version: http://advances.sciencemag.org/content/4/7/eaap7885
Pre-print: https://arxiv.org/abs/1711.10907
> We propose a novel computational strategy based on deep and reinforcement learn…
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### Introduction to Neural Networks
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> http://dx.doi.org/10.1371/journal.pone.0141287
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> **Motivation:** We introduce a new representation and feature extraction method for biological sequences. Named bio-vectors (BioVec) to refer to…
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Supervised and unsupervised learning algorithms
Artificial neural networks
Feature selection methods
Evaluation and validation of machine learning models
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Post your questions here about: “[Network Learning](https://docs.google.com/document/d/1hjXUvBRS779HDvbYXMKjyVbO3wVg6SaWNtxwof6s6LM/edit?usp=sharing)” & “Knowledge and Table Learning”, Thinking with D…