AI Geek Programmer

Home
  • All
  • COMPUTER VISION
  • MACHINE LEARNING
  • ML & BLOCKCHAIN

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...

Deep neural networks are widely used in image and shape recognition. Examples of applications include face recognition, image analysis in medicine, handwriting classification, and detection of surrounding objects. A special type of neural network that handles image processing extremely well is a convolutional neural network. I have to admit that ConvNet...

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...

Shape recognition, and handwritten digit recognition in particular, is one of the most graceful topics for anyone starting to learn AI. There are several reasons, but the two most important are the ease with which we can use well-prepared ready-made datasets and the ability to visualize these data. From this...