Introducing tf-explain, Interpretability for TensorFlow 2.0
A Tensorflow 2.0 library for deep learning model interpretability.
Few-Shot Image Classification with Meta-Learning
Here is how you can teach your model to learn quickly from a few examples.
Determine Your Network Hyper-parameters With Bayesian Optimization
Why and how Bayesian Optimization can be used for hyper-parameters tuning
How to Get Certified in Spark by Databricks?
This article aims to prepare you for the Databricks Spark Developer Certification: register, train and succeed, based on my recent experience.
Face Detectors: Understand DSFD and the State-of-the-art Algorithms
Let’s dive into the recent Dual Shot Face Detector DSFD through a review of two famous detection algorithms: Faster R-CNN and Single Shot Detector.
Best Open Source Annotation Tools for Computer Vision
A Top 5 labeling tools to create Computer Vision datasets.
Interpretability of Deep Learning Models with Tensorflow 2.0
An introduction to interpretability methods to ease neural network training monitoring.
Edge Detection in Opencv 4.0, A 15 Minutes Tutorial
This tutorial will teach you, with examples, two OpenCV techniques in python to deal with edge detection.
The Best of AI: New Articles Published This Month (June 2019)
10 data articles handpicked by the Sicara team, just for you.
Image Registration: From SIFT to Deep Learning
How the field has evolved from OpenCV to Neural Networks.
Basics in R Programming
You are about to begin a project on R? Before you watch any tutorial, read these basic standards.
The Best of AI: New Articles Published This Month (May 2019)
10 data articles handpicked by the Sicara team, just for you