• torch.optim.adagrad • torch.optim.adam • torch.optim.adamax • torch.optim.asgd • torch.optim.lbfgs • torch.optim.rmsprop • torch.optim.rprop • torch.optim.sgd ushbu optimizatsiya funksiyalariga qo'llagan holda dastur tuzish.

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$amaliy matematika fakultetimirzo ulug`bek nomidagi o`zbekiston milliy universiteti jizzax filiali “kompyuter ilmlari va dasturlash texnologiyalari” yo`nalishi: 471-22 guruh pythonda sun'iy intellekt texnologiyalari fanidan 1-mustaqil topshirig’i bajardi: yo’ldasheva sh tekshirdi: ulug’murodov sh jizzax 2025 barchangiz https://pytorch.org/tutorials/beginner/blitz/ saytida mavjud 5ta tensor_tutorial.py what is pytorch? https://pytorch.org/tutorials/beginner/blitz/tensor_tutorial.html autograd_tutorial.py autograd: automatic differentiation https://pytorch.org/tutorials/beginner/blitz/autograd_tutorial.html neural_networks_tutorial.py neural networks https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html# cifar10_tutorial.py training a classifier https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html data_parallel_tutorial.py optional: data parallelism https://pytorch.org/tutorials/beginner/blitz/data_parallel_tutorial.html topshiriqlarni • torch.optim.adagrad • torch.optim.adam • torch.optim.adamax • torch.optim.asgd • torch.optim.lbfgs • torch.optim.rmsprop • torch.optim.rprop • torch.optim.sgd ushbu optimizatsiya funksiyalariga qo'llagan holda dastur tuzish. dastur kodi: import torch import torch.nn as nn import torch.optim as optim device_selection = torch.device("cuda" if torch.cuda.is_available() else "cpu") print(f"🚀 foydalanilayotgan qurilma: {device_selection}") model = nn.sequential( nn.linear(7, 6), nn.relu(), nn.linear(6, 5) ).to(device_selection) print("🔧 model muvaffaqiyatli yaratildi!") optimizatorlar = { "sgd": optim.sgd(model.parameters(), lr=0.01, momentum=0.9), "adam": optim.adam(model.parameters(), lr=0.008), "rmsprop": optim.rmsprop(model.parameters(), lr=0.01, alpha=0.95), "adagrad": optim.adagrad(model.parameters(), lr=0.025), "adamax": optim.adamax(model.parameters(), lr=0.01), "asgd": optim.asgd(model.parameters(), lr=0.01, weight_decay=1e-4), "lbfgs": optim.lbfgs(model.parameters(), lr=0.03), "rprop": …$

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$p(model.parameters(), lr=0.01), } print("✅ optimizatorlar muvaffaqiyatli tanlandi!") x = torch.randn(30, 7).to(device_selection) y = torch.randn(30, 5).to(device_selection) print("📊 ma'lumotlar tayyor!") for nomi, optimizator in optimizatorlar.items(): print(f"⚙️ {nomi} optimizatori bilan o‘qitish boshlanmoqda...") for _ in range(12): optimizator.zero_grad() natija = model(x) loss = nn.mseloss()(natija, y) loss.backward() if nomi == "lbfgs": optimizator.step(lambda: nn.mseloss()(model(x), y)) else: optimizator.step() print(f"✅ {nomi} optimizatori bilan o‘qitish yakunlandi!") print("🏆 barcha optimizatorlar sinovdan muvaffaqiyatli o‘tkazildi!") image2.png image3.png image4.png image1.png$

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• torch.optim.adagrad • torch.optim.adam • torch.optim.adamax • torch.optim.asgd • torch.optim.lbfgs • torch.optim.rmsprop • torch.optim.rprop • torch.optim.sgd ushbu optimizatsiya funksiyalariga qo'llagan holda dastur tuzish. - Page 3

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"• torch.optim.adagrad • torch.optim.adam • torch.optim.adamax • torch.optim.asgd • torch.optim.lbfgs • torch.optim.rmsprop • torch.optim.rprop • torch.optim.sgd ushbu optimizatsiya funksiyalariga qo'llagan holda dastur tuzish." haqida

amaliy matematika fakultetimirzo ulug`bek nomidagi o`zbekiston milliy universiteti jizzax filiali “kompyuter ilmlari va dasturlash texnologiyalari” yo`nalishi: 471-22 guruh pythonda sun'iy intellekt texnologiyalari fanidan 1-mustaqil topshirig’i bajardi: yo’ldasheva sh tekshirdi: ulug’murodov sh jizzax 2025 barchangiz https://pytorch.org/tutorials/beginner/blitz/ saytida mavjud 5ta tensor_tutorial.py what is pytorch? https://pytorch.org/tutorials/beginner/blitz/tensor_tutorial.html autograd_tutorial.py autograd: automatic differentiation https://pytorch.org/tutorials/beginner/blitz/autograd_tutorial.html neural_networks_tutorial.py neural networks https://pytorch.org/tutorials/beginner/blitz/neural_networks_tutorial.html# cifar10_tutorial.py training a classifier https://pytorch.org/tutori...

Bu fayl DOCX formatida 5 sahifadan iborat (581,9 KB). "• torch.optim.adagrad • torch.optim.adam • torch.optim.adamax • torch.optim.asgd • torch.optim.lbfgs • torch.optim.rmsprop • torch.optim.rprop • torch.optim.sgd ushbu optimizatsiya funksiyalariga qo'llagan holda dastur tuzish."ni yuklab olish uchun chap tomondagi Telegram tugmasini bosing.

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