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“A Brief Introduction to Neural Networks” — это один из самых понятных и тщательно структурированных гайдoв по нейронным сетям от David Kriesel.

📘 Что внутри:
• Биология → формальные модели
• Обучение с учителем и без
• Персептроны, рекуррентные сети, SOM (карты Кохонена)
• Обратное распространение ошибки, Hebbian learning и не только
• Много схем, математики и объяснений "на пальцах"

💻 Хочешь поиграться с примерами? Всё можно попробовать на практике с фреймворком SNIPE (на Java), который идёт вместе с гайдом.

🔗 Читать/скачать (EN):
https://dkriesel.com/en/science/neural_networks

@machinelearning_interview



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“A Brief Introduction to Neural Networks” — это один из самых понятных и тщательно структурированных гайдoв по нейронным сетям от David Kriesel.

📘 Что внутри:
• Биология → формальные модели
• Обучение с учителем и без
• Персептроны, рекуррентные сети, SOM (карты Кохонена)
• Обратное распространение ошибки, Hebbian learning и не только
• Много схем, математики и объяснений "на пальцах"

💻 Хочешь поиграться с примерами? Всё можно попробовать на практике с фреймворком SNIPE (на Java), который идёт вместе с гайдом.

🔗 Читать/скачать (EN):
https://dkriesel.com/en/science/neural_networks

@machinelearning_interview

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