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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We have published seven modules of interview questions in machine learning and answers so far on this website. This is yet another addition to the series of discussion on frequently asked questions in machine learning job roles. Whether stochastic gradient descent or gradient descent is computationally complex? Gradient descent is computationally complex. After identifying a
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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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Decision tree is a non-parametric supervised machine learning algorithm which makes use of a tree like structure to make decisions. Decision tree algorithms can be used for both classification and regression though it is mostly meant for classification tasks. Decision trees consist of three types of nodes such as root node, leaf nodes and decision
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This is another addition to the series of machine learning (ML) interview questions and answers that have been published on this website. What are Sigmoid function and softmax functions? Explain the difference Sigmoid and softmax functions are functions used for the classification tasks in machine learning and deep learning. Both Sigmoid function and softmax function
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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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Logistic regression is an analytical technique in supervised machine learning for performing classification tasks. It is a classification algorithm based on probabilistic approach. Logistic regression approach can be used to make predictions on a categorical dependent variable. The algorithm extracts inferences from a given set of independent input variables and these inferences are used to
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