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Unleashing the Full Potential of Deep Learning Models: A Guide to Quantization Techniques
Photo by Lucas Pezeta Precision at a fraction of the size: Experience the power of quantization for your deep learning models Introduction Model quantization is a technique for reducing the precision of the weights and activations of a neural network model. This process can be used to decrease the model’s memory footprint and computational complexity,…
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ChatGPT: The Future of Google search.
How OpenAI’s chatGPT beats google search engine, in terms of results more insightful and catchy without any loitering. A revolutionary AI that has handed a ladder to the existing AI to climb wonders. (November 30, 2022) ChatGPT was built on top of GPT-3, their last flagship transformers-based model. Its response framing and text articulation have…
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A vaccine has been launched for beginners in the AI domain
A solution to the problem of facing a problem properly, without letting feel a problem as a problem. Problem at a glance A lot of difficulties are faced by beginners in AIML and Data Science. They don’t get proper directions on how to deal with a specific problem and hence they get frustrated and are not…
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Entropy and Information gain
Photo by Kyle Roxas Some moments occur when we notice that we have seen this term somewhere and we don’t remember what it exactly means. Entropy and information gain belong to the same categories of terminologies. We will try to understand entropy and information gain in a very simple and uncomplicated way. A basic understanding…
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Shout out to GAN (Start ver.)
Writing after a long time, Here’s the basic + in-depth mix explanation of Generative adversarial networks and Style-Based Generative Adversarial networks. Introduction GAN is simply a generative model that generates new data from the input data. They are used to perform unsupervised operations. They work majorly with image data and also audio data. The Generative…
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