machine-learning
A General Approach for Using 2D Object Detection for Facial ID
There are several techniques to leverage computer vision for facial recognition. In this scenario, we are demonstrating an approach for…
read original article at https://medium.com/cityai/a-general-approach-for-using-2d-object-detection-for-facial-id-b5dc816a970?source=rss——artificial_intelligence-5
AI Talks on #DeepLearning— Math, Inner workings, Optimization
About 7 months back, I transitioned over to Course Hero as the VP, Artificial Intelligence and Machine Learning. As part of this, my…
read original article at https://medium.com/autonomous-agents/ai-talks-on-deeplearning-math-inner-workings-optimization-172d2dd3cd02?source=rss——artificial_intelligence-5
Simplifying Optimization : A Study of AdaGrad
Let us begin to grasp the concept of AdaGrad with a brief overview of one of the most important optimization algorithms in deep learning —…
read original article at https://medium.com/@abhilashpal8/simplifying-optimization-a-study-of-adagrad-e335c7aa617c?source=rss——artificial_intelligence-5
Multi-GPU training with Brain Builder and TensorFlow
Yes, building AI is hard! Every step from data annotation, training and deployment comes with its own set of challenges. This blog post…
read original article at https://medium.com/neurala/multi-gpu-training-with-brain-builder-and-tensorflow-36a71be448ed?source=rss——artificial_intelligence-5
How does Scaling change Principle Components? — Part 2
For today I want to perform some kind of normalization respect to the variance that exists in the data.
read original article at https://towardsdatascience.com/how-does-scaling-change-principle-components-part-2-6974cf40aa60?source=rss——artificial_intelligence-5
This first appeared in SIIA’s blog.
On November 13, I participated in the Federal Trade Commission’s workshop on Ethics and Common Principles in Algorithms, Artificial…
read original article at https://medium.com/@maccartm/this-first-appeared-in-siias-blog-688b0bdb4d0?source=rss——artificial_intelligence-5
Interpretable Neural Networks
Interpreting black box models is a significant challenge in machine learning, and can significantly reduce barriers to adoption of the…
read original article at https://medium.com/@gabrieltseng/interpretable-neural-networks-45ac8aa91411?source=rss——artificial_intelligence-5