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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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Quantum Teleportation
Get ready to be transported to a whole new dimension with quantum teleportation — where the impossible becomes possible! What exactly is quantum teleportation? Quantum teleportation is an amazing idea in quantum mechanics that allows us to send information from one place to another without any physical connection between them. It’s different from traditional communication methods because…
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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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Squeeze-and-Excitation: Enhancing CNNs for Improved Feature Representation
An Attention Mechanism for Channel-Wise Feature Enhancement Introduction Squeeze-and-Excitation (SE) Networks are a type of artificial neural network that helps computers better understand and recognize images. They do this by focusing on the important parts of an image and ignoring the unimportant parts. The SE module in the network is made up of two main…
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