Machine Learning

How To Trick a Neural Network in Python 3 — step-by-step AI And Machine Learning tutorial on Progressive Robot

How To Trick a Neural Network in Python 3

In this tutorial, you will try “fooling” or tricking an animal classifier. As you work through the tutorial, you’ll use OpenCV, a computer-vision library, and PyTorch, a deep learning library. By the end of the tutorial, you will have a tool for tricking neural networks and an understanding of how to defend against tricks.

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How To Visualize and Interpret Neural Networks in Python — step-by-step AI And Machine Learning tutorial on Progressive Robot

How To Visualize and Interpret Neural Networks in Python

Neural networks achieve state-of-the-art accuracy in many fields such as computer vision, natural-language processing, and reinforcement learning. In this tutorial, you’ll specifically explore two types of explanations: 1. Saliency maps, which highlight the most important parts of the input image; and 2. decision trees, which break down each prediction into a sequence of intermediate decisions.

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