Neptune blog

In-Depth Articles for Machine Learning Practitioners

Keras Loss Functions: Everything You Need To Know

You’ve created a deep learning model in Keras, you prepared the data and now you are wondering which loss you should choose […]

How to Monitor Machine Learning and Deep Learning Experiments

Training machine learning/deep learning models can take a really long time, and understanding what is happening as your model is training is […]

How to Do Data Exploration for Image Segmentation and Object Detection (Things I Had to Learn the Hard Way)

I’ve been working with object detection and image segmentation problems for many years. An important realization I made is that people don’t […]

Top Open Source Tools and Libraries for Deep Learning – ICLR 2020 Experience

Where is cutting-edge deep learning created and discussed? One of the top places is ICLR – a leading deep learning conference, that […]

How to Keep Track of PyTorch Lightning Experiments with Neptune

Working with PyTorch Lightning and wondering which logger should you choose to keep track of your experiments? Thinking of using PyTorch Lightning […]

The Best Deep Learning Papers from the ICLR 2020 Conference

Last week I had a pleasure to participate in the International Conference on Learning Representations (ICLR), an event dedicated to the research […]

image segmentation kaggle tips and tricks

Image Segmentation: Tips and Tricks from 39 Kaggle Competitions

Imagine if you could get all the tips and tricks you need to hammer a Kaggle competition. I have gone over 39 […]

6 GAN Architectures You Really Should Know

Generative Adversarial Networks (GANs) were first introduced in 2014 by Ian Goodfellow et. al. and since then this topic itself opened up […]

Image segmentation in 2020: Architectures, Losses, Datasets, and Frameworks

In this piece, we’ll take a plunge into the world of image segmentation using deep learning. We’ll talk about: what image segmentation […]

Document Classification: 7 Pragmatic Approaches for Small Datasets

Document or text classification is one of the predominant tasks in Natural language processing. It has many applications including news type classification, […]

8 Creators and Core Contributors Talk About Their Model Training Libraries From PyTorch Ecosystem

I started using Pytorch to train my models back in early 2018 with 0.3.1 release. I got hooked by the Pythonic feel, […]

Keras Metrics: Everything You Need To Know

Keras metrics are functions that are used to evaluate the performance of your deep learning model. Choosing a good metric for your […]