Model learns how individual amino acids determine protein function

A machine-learning model from MIT researchers computationally breaks down how segments of amino acid chains determine a protein’s function, which could help researchers design...

Kicking neural network automation into high gear

A new area in artificial intelligence involves using algorithms to automatically design machine-learning systems known as neural networks, which are more accurate and efficient...

How to install the Ajenti Control Panel on Ubuntu 18.04

Make your data center servers easier to manage, without spending a penny on software with the Ajenti server manager. Image: Jack Wallen The Anjenti Control Panel...

How to Configure the Learning Rate Hyperparameter When Training Deep Learning Neural Networks

The weights of a neural network cannot be calculated using an analytical method. Instead, the weights must be discovered via an empirical optimization procedure...

How to Choose Loss Functions When Training Deep Learning Neural Networks

Deep learning neural networks are trained using the stochastic gradient descent optimization algorithm. As part of the optimization algorithm, the error for the current state...

3 Levels of Deep Learning Competence

Deep learning is not a magic bullet, but the techniques have shown to be highly effective in a large number of very challenging problem...

How to Avoid Exploding Gradients in Neural Networks With Gradient Clipping

Training a neural network can become unstable given the choice of error function, learning rate, or even the scale of the target variable. Large updates...

Should we remove duplicates from a data-set while training a Machine Learning algorithm (shallow...

It…depends. Mostly it depends on what your goals are and what your dataset looks like. There are two big divides here on both sides. Data Structured...

How to Improve Performance With Transfer Learning for Deep Learning Neural Networks

An interesting benefit of deep learning neural networks is that they can be reused on related problems. Transfer learning refers to a technique for predictive...

Framework for Better Deep Learning

Modern deep learning libraries such as Keras allow you to define and start fitting a wide range of neural network models in minutes with...
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