There are many libraries that are used to run deep learning algorithms, carry out studies and solve problems. Today…
While creating deep learning architectures, the algorithm to be used is of great importance. These algorithms may…
Deep learning architectures, which have become more competitive with the ImageNet competition, which is a…
The success achieved as a result of the classification made by Krizhevsky and his friends through Deep Convolutional Neural Netrowks…
Along with the opportunities and benefits that machine learning systems provide, there are also…
In this learning, the answer to the question of how an autonomous agent perceiving and acting in his / her environment…
Self-training: It is a technique frequently used in semi-supervised learning. In this technique, the classifier is…
K-means clustering: K-Mean Clustering [1] is a widely used method to automatically divide a data set into k groups…
Nearest neighbor: Nearest neighbor algorithms look for a solution to the following problem: In an X metric space, the S set…
Although the concept of artificial intelligence has been used since the 1950s, this concept encourages computer…