-
KAT5-An Experimental Initiative
Buckle up, folks! We’re taking you on a wild ride where two big shots in the tech world team up — the super smart Kolmogorov-Arnold Networks (KANs) and the one-and-only T5 transformer. It’s like when your favorite superheroes join forces, but for the deep learning scene. In this blog post, we will explore the integration of Kolmogorov-Arnold…
-
Hacking an Artificial neural network
They also have a weak spot — they can be hacked! Adversarial attacks, where inputs are tweaked to mislead these networks, have become a concern. In this post, we’ll explore the basics of hacking neural networks in a responsible and ethical manner. What is it? The FGSM (Fast Gradient Sign Method) is a type of attack that falls…
-
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…
-
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,…
-
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…
Chic perennial Intelligence