🏈 TensorCraft Playbook: De CNNs de Sala de Aula a Cloud TPUs com Keras
The article outlines a deep learning playbook using Keras, progressing from classroom CNNs to scaling with Cloud TPUs. It details the architecture of a convolutional neural network for image classification and compares computational hardware like CPUs, GPUs, and TPUs. The guide emphasizes efficient model training strategies using TPUStrategy and XLA for performance optimization.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 401931) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Ahirton Lopes Posted on May 1 🏈 TensorCraft Playbook: De CNNs de Sala de Aula a Cloud TPUs com Keras #ai 📖 Capítulo 1: A Formação de Ataque (Arquitetura CNN) Toda estratégia vencedora exige fundamentos sólidos. No Deep Learning, isso significa projetar uma arquitetura de rede neural convolucional (CNN) equilibrada. Nosso ponto de partida é uma estrutura clássica, projetada para extração hierárquica de padrões espaciais em imagens de 32x32 pixels.
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