Last Updated on January 10, 2023 A neural network is a set of neuron nodes that are interconnected with one another. The neurons are not just connected to their adjacent neurons but also to the ones that are farther away. The main idea behind neural networks is that every neuron in a layer has one …
Read more “Building a Single Layer Neural Network in PyTorch”
Last Updated on January 1, 2023 While a logistic regression classifier is used for binary class classification, softmax classifier is a supervised learning algorithm which is mostly used when multiple classes are involved. Softmax classifier works by assigning a probability distribution to each class. The probability distribution of the class with the highest probability is …
Last Updated on January 9, 2023 Transformer is a recent breakthrough in neural machine translation. Natural languages are complicated. A word in one language can be translated into multiple words in another, depending on the context. But what exactly a context is, and how you can teach the computer to understand the context was a …
To regulate the distribution shift experience by learning-based controllers, we seek a mechanism for constraining the agent to regions of high data density throughout its trajectory (left). Here, we present an approach which achieves this goal by combining features of density models (middle) and Lyapunov functions (right). In order to make use of machine learning …
Read more “Keeping Learning-Based Control Safe by Regulating Distributional Shift”
They say a house is not a home if there is no one there. Well what good is an advanced virtual space without access to digital assets like 3D chatbots to interact with? 3D chatbots are the bridge between the physical and digital as it grants that human-like connection in addition to providing a more seamless, …
AI image generators have come a long way in recent years. When they first started out, they were quite bad at drawing tents. This was because they could only generate images based on the few examples that they had been given. However, they have since learned how to generalize from these examples and are now …
Solving novel problems and setting a new milestone in competitive programming.
How AI can spur efficiency and productivity, prevent human error and protect the supply chain from future crises.Read More
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