Until recently, a large part of the key concepts in the field of artificial intelligence was not so clearly defined. Some of them, such as Deep Learning, were even referred to as "buzzwords", term used mainly by marketing and not strictly translated into scientific areas. Now, the basic concepts seem...
If I had to indicate one algorithm in machine learning that is both very simple and highly effective, then my choice would be the k-nearest neighbors (KNN). What's more, it's not only simple and efficient, but it works well in surprisingly many areas of application. In this post I decided...
In the previous three parts of the tutorial, we learned about convolutional networks in detail. We looked at the convolution operation, the convolutional network architecture, and the problem of overfitting. In the classification of the CIFAR-10 dataset we achieved 81% on the test set. To go further we would have...
Convolutional neural network is one of the most effective neural network architecture in the field of image classification. In the first part of the tutorial, we discussed the convolution operation and built a simple densely connected neural network, which we used to classify CIFAR-10 dataset, achieving accuracy of 47%. In...
Convolutional neural network provides one of the best classification results for images. In the previous post, you had the opportunity to learn what a convolution is and how to classify a CIFAR-10 dataset using a simple densly connected neural network. By the way, we have obtained accuracy of 47% on...
Do you like statistics? There is a high probability ;-) that you don't. But don't worry, statistics are not my strong point either. All in all, it's hard to say why most people shun statistics, but I feel that many statistical issues are not entirely intuitive. Just reach for the...
