An activation function in deep learning is a nonlinear transformation applied to the node output before passing it to the consequent layers in neural networks. Artificial Neural Networks (ANN) consist of multiple layers interconnected. Mainly there will be an input layer, output layer and one or more hidden layers. Inspired by the biological neural networks, […]
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Large language models (LLM) are general purpose language models in deep learning. The foremost word “Large” in LLM indicates a large training dataset which is often in the petabyte scale with an enormous number of parameters. General purpose means the models are capable of handling common problems in our day today life. The BERT model
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Sputtering is a physical vapour deposition (PVD) method use for thin film growth. Like any other physical vapour deposition, sputtering involves the deposition of an atom, ion or molecule corresponding to a target material onto the substrate. Sputtering employs electrical generation of plasma between the target material, which is the material to be deposited and
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Hello World, In this article let us take a look at the process of matrix multiplication from a different perspective. Often matrix multiplication is taught or learned as a boring process of certain rules. This spoils the fun of doing it. So why don’t we look for better way to think about it by having
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Transcription factors are proteins that play a crucial role in gene expression, which is the process by which genes are turned on or off in cells. These proteins bind to specific DNA sequences in the promoter region of a gene and regulate the transcription of that gene into RNA, which is then used to make
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Ensemble models in machine learning combine the output of multiple models to build a better performing model as compared to the individual models. The individual models whose output are used for the process of ensemble modeling are called baseline models or base estimators. The objective behind this approach of ensemble learning is to alleviate the
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Overview Birds are an incredibly diverse group of animals found all over the Earth. With over 10,000 known species, they come in all shapes, sizes, and colours, and they play a vital role in maintaining the delicate balance of ecosystems around the world. One of the most important roles that birds play is that of
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As a bioinformatician, you will be working with large amounts of biological and molecular data, which means that you need to have a solid understanding of the fundamental concepts in these fields. Molecular biology is a fascinating and complex field of study that deals with the study of the biological processes at the molecular level.
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DNA sequencing is a way to read the genetic code that makes up all living things. It is like reading a recipe book for life, except that the “ingredients” are different molecules that make up the DNA. The state-of-the-art DNA sequencing technologies use advanced machines and computer programs to rapidly read and analyze large amounts
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Emotional intelligence can be understood as an ability to know our own emotions and being able to handle it in the best ways. Studies revealed intelligent quotients contribute 20 % of success in our life whereas 80% comes from our emotional intelligence. Emotional intelligence helps people to stay calm and hopeful when a difficult situation
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