## ALL ARTICLES FOR # Deep learning [ ![](https://digica.com/templates/yootheme/cache/79/AI_deep_learning-796744c7.jpeg) ### Deep learning models which pay attention (part I) The attention mechanism made big changes in deep learning. Thanks to this, models can achieve better results. This mechanism was also the inspiration for perceivers and also transformer neural networks . And transformers… 24 November 2021 [Read more](https://digica.com/index.php?option=com_content&view=article&id=167&catid=27&Itemid=522) ](https://digica.com/index.php?option=com_content&view=article&id=167&catid=27&Itemid=522) [ ![](https://digica.com/templates/yootheme/cache/7c/catscan-7c5b2635.png) ### Deep learning models which pay attention (part II) - Attention (special focus) in Computer Vision In the previous article, I described attention mechanisms by using an example of natural language processing. This method was first used in language processing, but this is not its only usage. We can also use attention mechanism… 31 January 2022 [Read more](https://digica.com/index.php?option=com_content&view=article&id=170&catid=27&Itemid=522) ](https://digica.com/index.php?option=com_content&view=article&id=170&catid=27&Itemid=522) [ ![](https://digica.com/templates/yootheme/cache/88/advanced-domains-88aac139.jpeg) ### How to fool a neural network? Nowadays, no one needs to be convinced of the power and usefulness of deep neural networks. AI solutions based on neural networks have revolutionised almost every area of ​​technology, business, medicine, science and military ap… 22 February 2022 [Read more](https://digica.com/index.php?option=com_content&view=article&id=171&catid=27&Itemid=522) ](https://digica.com/index.php?option=com_content&view=article&id=171&catid=27&Itemid=522) [ ![](https://digica.com/templates/yootheme/cache/6b/Quantum_Machine_2-6b25fc2c.png) ### Quantum Machine Learning - hot or not? Image generated with Midjourney API, “Quantum Computing” The blogs so far have been based on facts and knowledge… 27 January 2023 [Read more](https://digica.com/index.php?option=com_content&view=article&id=189&catid=27&Itemid=522) ](https://digica.com/index.php?option=com_content&view=article&id=189&catid=27&Itemid=522) [ ![](https://digica.com/templates/yootheme/cache/ab/AdobeStock_283707846_2-ab9f4589.jpeg) ### System 2 Deep Learning Review of Yoshua Bengio’s lecture at the Artificial General Intelligence 2021 Conference At the 2021 Artificial General Intelligence Conference, a star keynote speaker was Yoshua Bengio. He has been one of the leading figures of deep l… 04 November 2021 [Read more](https://digica.com/index.php?option=com_content&view=article&id=165&catid=27&Itemid=522) ](https://digica.com/index.php?option=com_content&view=article&id=165&catid=27&Itemid=522) [ ![](https://digica.com/templates/yootheme/cache/7c/catscan-7c5b2635.png) ### What I like about autoencoders Autoencoders have existed in Data Science for a long time. This type of model has three sequential parts: the input layer (encoder); the hidden layer; and the output layer (decoder). It seems like a simple concept, but it is very powerf… 16 March 2022 [Read more](https://digica.com/index.php?option=com_content&view=article&id=173&catid=27&Itemid=522) ](https://digica.com/index.php?option=com_content&view=article&id=173&catid=27&Itemid=522)