6.1 Gradient stability
📌 Ushbu darsda siz quyidagilarni o‘rganasiz: 1️⃣ Gradient aslida backpropagation vaqtida qanday tarqaladi 2️⃣ Nega qatlamlar ko‘paygani sari gradient nolga yaqinlashadi (vanishing) 3️⃣ Nega ba’zan gradient keskin kattalashib ketadi (exploding) 4️⃣ Gradient clipping qanday ishlaydi va nima uchun yordam beradi 👉 Bu darsdan keyin siz training paytida chiqadigan NaN loss, o‘rganmayotgan model, sakrayotgan ichki parametrlar muammosini diagnostika qila olasiz. 👉 Kurs rejasi (to‘liq): 🔗 / deep-learning-matematikasi-intensiv-kurs-r... 📌 Telegram kanal: 👉 https://t.me/EldorML 🚨 Eslatma Videolar jonli, tayyorgarliksiz yoziladi. Matematik izohlarda xatolar bo‘lishi mumkin. Oldindan uzr va tushunishingiz uchun rahmat 🙏
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6.2 Weight initialization
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But what is the Fourier Transform? A visual introduction.
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7.1 ResNet va Skip Connections
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The Strange Math That Predicts (Almost) Anything
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8.2 Activation functions matematikasi
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8.1 Forward va Backward pass
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Transformers, the tech behind LLMs | Deep Learning Chapter 5
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7.3 Diffusion Models asoslari
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But what is a neural network? | Deep learning chapter 1
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How to Learn Python | Python Programming | Learn Python | Intellipaat
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7.4 Graph Neural Networks (GNN)
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Terence Tao on the cosmic distance ladder
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We're 99.9% sure this pattern is true, but no one can prove it
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5.9 Attention visualization
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C Programming Tutorial for Beginners
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Attention in transformers, step-by-step | Deep Learning Chapter 6
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Python Full Course for Beginners
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6.6 Overfitting va generalization
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