[{"data":1,"prerenderedAt":150},["ShallowReactive",2],{"term-n\u002Fneural-network":3,"related-n\u002Fneural-network":133},{"id":4,"title":5,"acronym":6,"body":7,"category":113,"description":114,"difficulty":115,"extension":116,"letter":117,"meta":118,"navigation":119,"path":120,"related":121,"seo":127,"sitemap":128,"stem":131,"subcategory":6,"__hash__":132},"terms\u002Fterms\u002Fn\u002Fneural-network.md","Neural Network",null,{"type":8,"value":9,"toc":107},"minimark",[10,15,19,23,26,30,96,100,103],[11,12,14],"h2",{"id":13},"eli5-the-vibe-check","ELI5 — The Vibe Check",[16,17,18],"p",{},"A neural network is a system loosely inspired by the human brain — lots of little math nodes connected together, passing numbers to each other. Each node does a tiny calculation, and together they can learn to recognize faces, write poetry, or beat you at chess. It's neurons, but for computers and without the existential dread.",[11,20,22],{"id":21},"real-talk","Real Talk",[16,24,25],{},"Artificial neural networks consist of layers of interconnected nodes (neurons) that apply weighted transformations to input data. A forward pass propagates data through the network; backpropagation adjusts weights based on prediction error. They are the foundation of modern deep learning architectures.",[11,27,29],{"id":28},"show-me-the-code","Show Me The Code",[31,32,37],"pre",{"className":33,"code":34,"language":35,"meta":36,"style":36},"language-python shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","import torch.nn as nn\nclass Net(nn.Module):\n    def __init__(self):\n        super().__init__()\n        self.fc1 = nn.Linear(784, 128)\n        self.fc2 = nn.Linear(128, 10)\n    def forward(self, x):\n        x = torch.relu(self.fc1(x))\n        return self.fc2(x)\n","python","",[38,39,40,48,54,60,66,72,78,84,90],"code",{"__ignoreMap":36},[41,42,45],"span",{"class":43,"line":44},"line",1,[41,46,47],{},"import torch.nn as nn\n",[41,49,51],{"class":43,"line":50},2,[41,52,53],{},"class Net(nn.Module):\n",[41,55,57],{"class":43,"line":56},3,[41,58,59],{},"    def __init__(self):\n",[41,61,63],{"class":43,"line":62},4,[41,64,65],{},"        super().__init__()\n",[41,67,69],{"class":43,"line":68},5,[41,70,71],{},"        self.fc1 = nn.Linear(784, 128)\n",[41,73,75],{"class":43,"line":74},6,[41,76,77],{},"        self.fc2 = nn.Linear(128, 10)\n",[41,79,81],{"class":43,"line":80},7,[41,82,83],{},"    def forward(self, x):\n",[41,85,87],{"class":43,"line":86},8,[41,88,89],{},"        x = torch.relu(self.fc1(x))\n",[41,91,93],{"class":43,"line":92},9,[41,94,95],{},"        return self.fc2(x)\n",[11,97,99],{"id":98},"when-youll-hear-this","When You'll Hear This",[16,101,102],{},"\"The neural network learned to classify emails.\" \u002F \"Train the neural network for 50 epochs.\"",[104,105,106],"style",{},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":36,"searchDepth":50,"depth":50,"links":108},[109,110,111,112],{"id":13,"depth":50,"text":14},{"id":21,"depth":50,"text":22},{"id":28,"depth":50,"text":29},{"id":98,"depth":50,"text":99},"ai","A neural network is a system loosely inspired by the human brain — lots of little math nodes connected together, passing numbers to each other.","intermediate","md","n",{},true,"\u002Fterms\u002Fn\u002Fneural-network",[122,123,124,125,126],"Deep Learning","Weights","Backpropagation","Loss Function","Transformer",{"title":5,"description":114},{"changefreq":129,"priority":130},"weekly",0.7,"terms\u002Fn\u002Fneural-network","HPMGHnDpyJjHvyhuc3FL2jLqWCxVe__L9rXv_vjeb9I",[134,138,141,144,147],{"title":124,"path":135,"acronym":6,"category":113,"difficulty":136,"description":137},"\u002Fterms\u002Fb\u002Fbackpropagation","advanced","Backpropagation is how errors flow backwards through a neural network during training.",{"title":122,"path":139,"acronym":6,"category":113,"difficulty":115,"description":140},"\u002Fterms\u002Fd\u002Fdeep-learning","Deep Learning is Machine Learning that's been hitting the gym.",{"title":125,"path":142,"acronym":6,"category":113,"difficulty":115,"description":143},"\u002Fterms\u002Fl\u002Floss-function","The loss function is the AI's score of how badly it's doing.",{"title":126,"path":145,"acronym":6,"category":113,"difficulty":115,"description":146},"\u002Fterms\u002Ft\u002Ftransformer","The Transformer is THE architecture behind all modern AI. ChatGPT, Claude, Midjourney, Whisper — all transformers under the hood. The key innovation?",{"title":123,"path":148,"acronym":6,"category":113,"difficulty":115,"description":149},"\u002Fterms\u002Fw\u002Fweights","Weights are the numbers inside a neural network that determine what it knows and how it behaves — they're the AI's 'brain cells.",1776518297361]