Inside Neural Networks: Neurons & Layers Explained | Day 18 | #neuralnetworks #ai #deeplearning
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Inside Neural Networks: Neurons & Layers Explained | Day 18 | #neuralnetworks #ai #deeplearning
Inside every Neural Network are neurons and layers. Learn how inputs, weights, bias, activation functions, and layers help AI systems make predictions. #neuralnetworks #neuralnetwork #deeplearning #machinelearning #ai #artificialintelligence #artificialintelligenceandmachinelearning #deeplearningbasics #ann #artificialneuralnetwork #SanAI # ...
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Claude Code turned 4,700 Obsidian notes into a working neural network in one evening.Not a metaphor. An actual net. 17 inputs. 26 neurons in the hidden layer. ReLU activation. Every input node is a folder from his vault.The setup took 3 prompts.Prompt 1: Claude Code reads the vault. 4,700 markdown files, 6 years of notes, 2.1M words. It builds embeddings for every note and maps the link graph.Prompt 2: it writes the network from scratch. No PyTorch. No TensorFlow. Raw JavaScript, 900 lines, runn
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