I hope that this simple guide will help sort out the confusion around deep learning and that the 8 practical examples will help ... artificial neural networks, algorithms inspired by the human ...

The results on the right show the performance of DDQN and algorithm Stochastic NNs for Hierarchical Reinforcement Learning (SNN-HRL ... config.environment field (look at Results/Cart_Pole.py for an ...

For other problems, classical machine learning algorithms have not worked terribly well in the past. There are many examples of problems that currently require deep learning to produce the best ...

Machine learning and deep learning have been ... Ordinary programming algorithms tell the computer what to do in a straightforward way. For example, sorting algorithms turn unordered data into ...

Algorithmia is what Oppenheimer calls an open marketplace for algorithms---code that ... which uses deep learning to automatically colorize black and white photos---as a prime example.

Researchers have successfully employed an algorithm to identify potential ... identifies "open" regions of the genome, and PRINT, a deep-learning-based method to detect these types of footprints ...

Deep learning is a type of machine learning that learns by looking at lots of examples. In a way ... contrast to traditional machine learning algorithms, which can reach a performance plateau ...

“We made a very powerful machine learning algorithm ... into computer code exactly what to look for, you let the algorithm figure it out.” The algorithm is called a deep convolutional neural ...

But I will make a backup in the google driver. 🚩 2019-11-13 - Change the code structure of the repo, all algorithms have been moved to rl_algorithms/ folder. Add soft actor critic method, the ...