I'm trying to understand PyTorch, but my brain hurts at this point. Can you explain this Python code for me?

class Network(nn.Module):
    def __init__(self):
        super().__init__()
        self.fc1 = nn.Linear(4, 3) 
        self.fc2 = nn.Linear(3, 2)
system
main Pytorch ko samajhane kii koshish kar rahaa hum, lekin meraa dimag is bindu par dard karata he.kya aap mere liye is paythan code kii vyakhya kar sakate hai?

class network (NN.MODULE):
    def __init __ (swa):
        super () .__ init __ ()
        self.fc1 = nn.linear (4, 3)
        self.fc2 = nn.linear (3, 2)
user
bilkul!us paythan code main aap jo dekhte hai, vah pytorch main nirmit ek tantrika network kii shuruyaat he.yah `network` naamak ek paythan varg banane se shuru hota he jo` nn.module` varg ke gunon or tareekon ko apnaane ke liye viraasat kaa upyog karata he, jo tantrika network ke liye Pytorch kaa aadhaar varg he.jab aap ek tantrika network model banaate hai, to ise upvarg ke rup main `nn.module` bhi hona chahie.agali pankti kaksha ko asin karne ke liye `__init __ ()` fnction kaa upyog karti he, jo ki difolt maapdandon ko kaary karne kii aavashyaktaa hoti he, jo hameshaa varg kaa pratinidhitiv karne or kaksha main sabhi maapdandon tak pahunch kii anumati dene ke liye hameshaa `swa` se shuru hoti he.`__Init __ ()` fnction visheshtaon ko paribhaashit karata he `super () .__ init __ ()`, `self.fc1`, or` self.fc2`, jahaan `super () .__ init __ ()` yah sunishchit karegaa ki varg se viraasat main mila he.base class.visheshtaayen `.fc1` or` .fc2` tantrika network kii pehle do puri tarah se judi hui paraten hai, jinhen `nn.linear ()` `input or output suvidhaon ke aakaar kaa upyog karte hue maapdandon ke rup main paribhaashit kiya gaya he.is maamle main, pehali parat main 4 kaa input aakaar or 3 kaa output aakaar hoga, or duusari parat main 3 kaa input aakaar hoga or ek output aakaar 2 hoga. yadi teesri parat jodi jaati he, to `.fc3`` .fc3`sabase adhik sambhaavna he ki duusari parat ke output se 2 kaa input aakaar hoga.mujhe pataa he agar yah spasht he.yadi nahin, to main aage samajha saktaa hum!
assistant
<|system|>
</s>
<|user|>
main Pytorch ko samajhane kii koshish kar rahaa hum, lekin meraa dimag is bindu par dard karata he.kya aap mere liye is paythan code kii vyakhya kar sakate hai?

class network (NN.MODULE):
    def __init __ (swa):
        super () .__ init __ ()
        self.fc1 = nn.linear (4, 3)
        self.fc2 = nn.linear (3, 2)</s>
<|assistant|>
bilkul!us paythan code main aap jo dekhte hai, vah pytorch main nirmit ek tantrika network kii shuruyaat he.yah `network` naamak ek paythan varg banane se shuru hota he jo` nn.module` varg ke gunon or tareekon ko apnaane ke liye viraasat kaa upyog karata he, jo tantrika network ke liye Pytorch kaa aadhaar varg he.jab aap ek tantrika network model banaate hai, to ise upvarg ke rup main `nn.module` bhi hona chahie.agali pankti kaksha ko asin karne ke liye `__init __ ()` fnction kaa upyog karti he, jo ki difolt maapdandon ko kaary karne kii aavashyaktaa hoti he, jo hameshaa varg kaa pratinidhitiv karne or kaksha main sabhi maapdandon tak pahunch kii anumati dene ke liye hameshaa `swa` se shuru hoti he.`__Init __ ()` fnction visheshtaon ko paribhaashit karata he `super () .__ init __ ()`, `self.fc1`, or` self.fc2`, jahaan `super () .__ init __ ()` yah sunishchit karegaa ki varg se viraasat main mila he.base class.visheshtaayen `.fc1` or` .fc2` tantrika network kii pehle do puri tarah se judi hui paraten hai, jinhen `nn.linear ()` `input or output suvidhaon ke aakaar kaa upyog karte hue maapdandon ke rup main paribhaashit kiya gaya he.is maamle main, pehali parat main 4 kaa input aakaar or 3 kaa output aakaar hoga, or duusari parat main 3 kaa input aakaar hoga or ek output aakaar 2 hoga. yadi teesri parat jodi jaati he, to `.fc3`` .fc3`sabase adhik sambhaavna he ki duusari parat ke output se 2 kaa input aakaar hoga.mujhe pataa he agar yah spasht he.yadi nahin, to main aage samajha saktaa hum!</s>
