Artificial Intelligence
10 Deep Learning Best Practices
As projects move from small-scale research to large-scale deployment, there are some universal best practices to achieve successful deep learning model rollout for a company of any size and means.
How to use Deep Learning when you have Limited Data
Often the data needed to build a model is impossible to find. Models trained for one task can be reused for another with Transfer Learning
Topic Modeling with LSA, PLSA, LDA & lda2Vec
We will explore topic modeling through 4 of the most popular techniques today: LSA, pLSA, LDA, and the newer, deep learning-based lda2vec.
How to do Semantic Segmentation using Deep learning
semantic segmentation is one of the key problems in the field of computer vision. This article is a comprehensive overview including a step-by-step guide to implement a deep learning image segmentation model.
Data Augmentation: How to Use Deep Learning with Limited Data?
This article is a comprehensive review of Data Augmentation techniques for Deep Learning, specific to images.
Motion Estimation with Optical Flow: A Comprehensive Guide
In this tutorial, we dive into the fundamentals of Optical Flow, look at some of its applications and implement its two main variants (sparse and dense). We also briefly discuss more recent approaches using deep learning and promising future directions.