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One of the most powerful tool that gets ignored
A powerful machine learning technique that merges neural networks and Bayesian statistics to make predictions that are both accurate and reliable. Imagine you want to predict whether your friend will come to your party. You might base your prediction on past events, how well you know them, and whether they have any other plans for…
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A 4-step guide to making a deployment-ready deep learning model
The model has been trained and dumped, what next? Deploying a deep learning model in production is a complex task that requires careful attention to both technical and practical details. You want to ensure that your model performs well and delivers accurate results, but you also need to consider other factors such as user experience,…
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Swish Activation function
The smooth and non-monotonic function that can be used in place of the commonly used ReLU activation function. Introduction to Activation Functions In machine learning and deep learning, an activation function is a mathematical function that is applied to the output of a neural network layer to introduce non-linearity into the network, allowing it to…
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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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