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juliacollections.github.io | ||
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kdheepak.com
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| | | | | [AI summary] The blog post explains the concept of variables and mutability in Julia using a library bookshelf analogy. It covers how variables in Julia act as labels pointing to memory locations, the difference between mutable and immutable objects, the behavior of const variables, and how functions handle mutable objects. The post also highlights differences between Python and Julia in terms of default keyword arguments and pass-by-sharing semantics. It concludes by emphasizing the importance of understanding memory management and mutability for effective Julia programming. | |
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blog.nuculabs.de
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| | | | | Introduction A linked list is a fundamental data structure which consists of Nodes that are connected to each other. Other variations are: Double linked list Circular linked list (circular buffer) The Singly Linked List To visualize the data structure, if you want to store two integers 10 and 20 you will have a 2 node linked list that will have: [Node 1, Value 10] -> [Node 2, Value: 20] -> [null] | |
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ericphanson.com
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blog.otoro.net
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| | | [AI summary] This article describes a project that combines genetic algorithms, NEAT (NeuroEvolution of Augmenting Topologies), and backpropagation to evolve neural networks for classification tasks. The key components include: 1) Using NEAT to evolve neural networks with various activation functions, 2) Applying backpropagation to optimize the weights of these networks, and 3) Visualizing the results of the evolved networks on different datasets (e.g., XOR, two circles, spiral). The project also includes a web-based demo where users can interact with the system, adjust parameters, and observe the evolution process. The author explores how the genetic algorithm can discover useful features (like squaring inputs) without human intervention, and discusses the ... | ||
