Deep learning is a branch of machine learning that is inspired by the structure and function of the brain.
It’s about training artificial neural networks on large amounts of data, and then letting it figure out patterns in the data.
Deep Learning requires a lot of data, more than humans can provide, which is why we need to use big data sets.
What is deep learning? Deep learning has been an incredibly impactful subset of machine learning. One thing that sets deep learning apart from other methods is its ability to handle complex, unstructured data such as images, audio, and natural language. Machine learning engineers who specialize in deep learning are constantly training models Read more…
Artificial intelligence (AI) has widespread applications in the real world, such as healthcare, robotics, autonomous vehicles, retail, eCommerce, etc. Together, AI, machine learning (ML), and deep learning (DL) solve various academic and industrial problems. Due to AI’s accurate predictive capabilities, the use of AI has skyrocketed over the last decade, Read more…
Deep learning is one of the favourite themes of this blog. It is the most important and powerful tool in machine learning. It’s responsible for many of the biggest breakthroughs in AI, like facial recognition, language translation, or self-driving cars. The idea behind deep learning is to make it easier Read more…
Handling frequency in machine learning One of the trickiest situations in machine learning is when you have to deal with datasets coming from different time scales. Frequency in machine learning is for example, that you are handling financial data, and some of the data comes at a monthly frequency (e.g. Read more…
Advances in natural language processing and deep learning make us question what is the meaning of intelligence. I was recently reading this very interesting article by the gradient: https://thegradient.pub/gpt2-and-the-nature-of-intelligence/ . The article refers to GPT2, but with GPT3 already, the questions it poses are more relevant than ever. On this Read more…
AI for creative purposes Artificial Intelligence has to be the hottest buzzword right now. A Google search at the time of writing returns more than 600 million results. A huge number of companies are working on AI products, or are using AI products. While in most cases what is termed Read more…
Genetic algorithms: A bit of history Genetic algorithms used to be a very popular branch of algorithms during the 90s early 00s. Genetic algorithms used to be one of the cornerstones of what is called computational intelligence. Computational intelligence is a subfield of artificial intelligence based mainly on the idea of creating Read more…
Deep learning has become one of the hottest buzzwords in the world of tech. And like all buzzwords it has raised questions, created expectations but has also given birth to some amazing solutions to problems that couldn’t be solved before. Until fairly recently, it was believed that additional layers do Read more…
Deep learning against humans Creating machines that can perform tasks better than humans has always been the dream behind artificial intelligence. A London-based company called DeepMind, had a breakthrough in 2015, when it produced a deep neural network, called AlphaGo, that can beat a professional Go player. This was the first Read more…
Deep neural networks can be complicated to understand, train and use. Deep learning is still, to a large extent, an experimental science. This is why getting some input on the best practices can be vital in making the most out of the capabilities that neural networks offer. This article presents Read more…
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