神经网络 vs Data Structures and Algorithms

这是一个受 Google Tensorflow 的 Deep playground 启发而制作的应用。本程序大量代码都借鉴了开源项目 Deep playground 。 本程序致力于普及神经网络、人工智能的相关知识。通过本程序可以直观地感受到神经网络训练过程中的变化，包括连接的强弱、每个结点负责识别的特征和最终输出等图像等。 开源地址：https://github.com/ypwhs/NNPlayground_iPad

DSA is a visual learning app for computer science students, exam prep, and self-learners. Turn abstract data structure concepts into step-by-step animations so you can actually see how algorithms work. WHY DSA • Dual-mode learning: read concept lessons first, then run interactive step-by-step visualizers • Smooth animations: pointer moves, swaps, assignments, and tree restructuring are animated with clear step descriptions • Structured curriculum: organized by textbook chapters from fundamentals to advanced topics • Full playback control: previous/next step, auto-play, speed adjustment, and scrubbing • Multilingual: Simplified Chinese, English, and more COURSE CONTENT Ch. 1 Introduction Asymptotic notation, simplification rules, time & space complexity with examples Ch. 2 Linear Lists, Stacks & Queues Linear lists, stack operations & applications, queue operations & circular queues Ch. 3 Arrays & Matrices Array basics, special matrix compression Ch. 4 Strings BF, KMP, BM string matching, algorithm complexity comparison Ch. 5 Trees Tree basics, binary tree properties & traversals BST, AVL, Splay, B-tree, Red-Black Tree, B+ Tree, Huffman Tree, Union-Find Ch. 6 Graphs Graph basics, storage structures, traversal Minimum spanning tree, shortest paths, topological sort & critical path Ch. 7 Sorting Bubble, Selection, Insertion, Shell, Merge, Quick, Heap Sort Counting, Bucket, Radix Sort Winner Tree, Loser Tree, complexity comparison WHO IT'S FOR • CS / Data Structures students • Exam prep and interview review • Self-learners building a solid DSA foundation FULL UNLOCK One-time purchase unlocks all content. No subscription. No ads. Restore purchases supported. Feedback: Settings → Email Feedback