By Medium -
2020-07-03
This project was made as part of Deep Learning with PyTorch: Zero to GANs course.
By Medium -
2020-10-05
Multi-layer Perceptrons (MLPs) are standard neural networks with fully connected layers, where each input unit is connected with each output unit. We rarely use these kind of layers when working with…
By Medium -
2020-12-02
Deep Learning harnesses the power of Big Data by building deep neural architectures that try to approximate a function f(x) that can map an input, x to its corresponding label, y. The Universal…
By Medium -
2020-10-08
Modern state-of-the-art neural network architectures are HUGE. For instance, you have probably heard about GPT-3, OpenAI’s newest revolutionary NLP model, capable of writing poetry and interactive…
By Medium -
2021-02-22
This is the third of a series of posts introducing pytorch-widedeepa flexible package to combine tabular data with text and images (that could also be used for “standard” tabular data alone). The…
By The Gradient -
2020-11-21
A broad overview of the sub-field of machine learning interpretability; conceptual frameworks, existing research, and future directions.
