One of the hardest concepts to grasp when learning about Convolutional Neural Networks for object detection is the idea of anchor boxes. It is also one of the most important parameters you can tune…
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Unlike task-specific algorithms, Deep Learning is a part of Machine Learning family based on learning data representations. With massive amounts of computational power, machines can now recognize…
Deep learning has changed the way we work, compute and has made our lives a lot easier. As Andrej Karpathy mentioned it is indeed the software 2.0, as we have taught machines to figure things out…
Part I: Intuition (you are reading it now) Part II: How Capsules Work Part III: Dynamic Routing Between Capsules Part IV: CapsNet Architecture Quick announcement about our new publication AI³. We are…
The purpose of AI Magazine is to disseminate timely and informative articles that represent the current state of the art in AI and to keep its readers posted on AAAI-related matters. The articles are selected for appeal to readers engaged in research and
Many call artificial intelligence (AI) a “black box”, and it kinda is. One of the biggest problems of AI is that it’s incredibly difficult to understand how the data is being interpreted. If you…
You want a cheap high performance GPU for deep learning? In this blog post I will guide through the choices, so you can find the GPU which is best for you.
Jiqizhixin("The heart of the machine") is China's leading cutting-edge technology media and industry service platform, focusing on artificial intelligence, robotics and neurocognitive science, and insisting on providing high-quality content and various industrial services for practitioners.
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In this article, we’re going to introduce self-organizing maps. We assume the reader has prior experience with neural networks. Self-organizing maps are a class of unsupervised learning neural…
In this tutorial I’ll explain how to build a simple working Recurrent Neural Network in TensorFlow. This is the first in a series of seven parts where various aspects and techniques of building…
Implementing YOLO from scratch detailing how to create the network architecture from a config file, load the weights and designing input/output pipelines.
L. Podina, B. Eastman, and M. Kohandel. Proceedings of the 40th International Conference on Machine Learning, volume 202 of Proceedings of Machine Learning Research, page 27948--27956. PMLR, (23--29 Jul 2023)