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glowingpython.blogspot.com | ||
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www.chrisritchie.org
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| | | | | [AI summary] A blog post discussing the simulation of artificial life with neural networks, focusing on agent behavior, population dynamics, and future development goals. | |
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marcospereira.me
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| | | | | In this post we summarize the math behind deep learning and implement a simple network that achieves 85% accuracy classifying digits from the MNIST dataset. | |
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senthil.learntosolveit.com
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| | | | | This is a coin flip simulator. It compare theoretical binomial distribution with experimental results. listings/python/coinflip.py (Source) import random import math import matplotlib.pyplot as plt | |
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programmathically.com
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| | | Sharing is caringTweetIn this post, we develop an understanding of why gradients can vanish or explode when training deep neural networks. Furthermore, we look at some strategies for avoiding exploding and vanishing gradients. The vanishing gradient problem describes a situation encountered in the training of neural networks where the gradients used to update the weights [] | ||
