Explore >> Select a destination
|
You are here 
|
d2l.ai | ||
| | | | |
ankane.org
|
|
| | | | | I'm happy to announce another round of machine learning gems for Ruby. Like in the last round, many use FFI or Rice to interface with high... | |
| | | | |
blog.fastforwardlabs.com
|
|
| | | | | The common approach in machine learning is to train and optimize one task at a time. In contrast, multitask learning (MTL) trains related tasks in parallel, using a shared representation. One advantage of MTL is improved generalization - using information regarding related tasks prevents a model from being overly focused on a single task, while it is also learning to produce better results. MTL is an approach, and is not restricted to any particular algorithm. | |
| | | | |
dennybritz.com
|
|
| | | | | Deep Learning is such a fast-moving field and the huge number of research papers and ideas can be overwhelming. | |
| | | | |
uo.com
|
|
| | | |||
