Ahead Of AI, And What’s Next?
About monthly machine learning musings, and other things I am currently workin on …
data-science, deep-learning, Machine Learning
deep-learning
data-science, deep-learning, Machine Learning
A Short Chronology Of Deep Learning For Tabular Data
Occasionally, I share research papers proposing new deep learning approaches for tabular data on social media, which is typically an excellent discussion…
deep-learning, Machine Learning, pytorch
No, We Don’t Have to Choose Batch Sizes As Powers Of 2
Regarding neural network training, I think we are all guilty of doing this: we choose our batch sizes as powers of 2, that is, 64, 128, 256, 512, 1024, and…
deep-learning, Machine Learning, ML Systems
Sharing Deep Learning Research Models with Lightning Part 2: Leveraging the Cloud
In this article, we will take deploy a Super Resolution App on the cloud using lightning.ai. The primary goal here is to see how easy it is to create and…
deep-learning, Machine Learning, ML Systems
Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App
In this post, we will build a Lightning App. Why? Because it is 2022, and it is time to explore a more modern take on interacting with, presenting, and…
deep-learning, Machine Learning
Taking Datasets, DataLoaders, and PyTorch’s New DataPipes for a Spin
The PyTorch team recently announced TorchData, a prototype library focused on implementing composable and reusable data loading utilities for PyTorch. In…
deep-learning, Machine Learning
Running PyTorch on the M1 GPU
Today, PyTorch officially introduced GPU support for Apple’s ARM M1 chips. This is an exciting day for Mac users out there, so I spent a few minutes trying…
deep-learning, Machine Learning
Creating Confidence Intervals for Machine Learning Classifiers
Developing good predictive models hinges upon accurate performance evaluation and comparisons. However, when evaluating machine learning models, we…
deep-learning, Machine Learning
Losses Learned
The cross-entropy loss is our go-to loss for training deep learning-based classifiers. In this article, I am giving you a quick tour of how we usually…
deep-learning, Machine Learning
TorchMetrics
TorchMetrics is a really nice and convenient library that lets us compute the performance of models in an iterative fashion. It’s designed with PyTorch (and…