Supermasks: A Simple Introduction and Implementation in PyTorch
Author(s): Kourosh T. Baghaei Originally published on Towards AI. The general understanding of neural networks is that computations are required in order to adjust the weights of a neural network so that it could perform a certain task on a given dataset. …
A Probabilistic Algorithm to Reduce Dimensions: t — Distributed Stochastic Neighbor Embedding (t-SNE)
Author(s): Rajvi Shah Originally published on Towards AI. Top highlight Data Visualization One of the best techniques to reduce dimensions and visualize data based on probabilistic scores. Source: Medium Data Visualization plays a crucial role in real-time Machine Learning applications. Visualizing data …
Deep Learning (CNN) — Discover the Breed of a Dog in an Image
Author(s): Saniya Parveez Originally published on Towards AI. Deep Learning Introduction Convolutional Neural Networks (CNNs) are deep learning networks, which are excellent in object recognition of images. Its design is inspired by a part of the brain called the visual cortex. The …
Let’s See How a Computer Sees…
Author(s): Pratik Originally published on Towards AI. Deep Learning, Programming Photo by Robina Weermeijer on Unsplash In humans, there are multiple stages to understand visual information, and the computer also follows this process. Let’s now try to zoom in a bit on …