Collection of Interactive Machine Learning Examples

Collection of Interactive Machine Learning Examples

  • July 13, 2018
Table of Contents

Collection of Interactive Machine Learning Examples

Each seed is a machine learning example you can start playing with. Explore, learn and grow them into whatever you like.

Source: google.com

Tags :
Share :
comments powered by Disqus

Related Posts

Why do neural networks generalize so poorly?

Why do neural networks generalize so poorly?

Deep convolutional network architectures are often assumed to guarantee generalization for small image translations and deformations. In this paper we show that modern CNNs (VGG16, ResNet50, and InceptionResNetV2) can drastically change their output when an image is translated in the image plane by a few pixels, and that this failure of generalization also happens with other realistic small image transformations. Furthermore, the deeper the network the more we see these failures to generalize.

Read More
Don’t Learn TensorFlow! Start with Keras or PyTorch Instead

Don’t Learn TensorFlow! Start with Keras or PyTorch Instead

So, you want to learn deep learning? Whether you want to start applying it to your business, base your next side project on it, or simply gain marketable skills – picking the right deep learning framework to learn is the essential first step towards reaching your goal. We strongly recommend that you pick either Keras or PyTorch.

Read More
Attacks against machine learning – an overview

Attacks against machine learning – an overview

At a high level, attacks against classifiers can be broken down into three types: Adversarial inputs, which are specially crafted inputs that have been developed with the aim of being reliably misclassified in order to evade detection. Adversarial inputs include malicious documents designed to evade antivirus, and emails attempting to evade spam filters. Data poisoning attacks, which involve feeding training adversarial data to the classifier.

Read More