Milliseid närvivõrkude teeke olete kasutanud?

In projects with neural networks, the following libraries are often used:

• TensorFlow — a powerful framework from Google for building and training neural networks, supporting both CPU and GPU.
• PyTorch — a flexible and popular tool with a dynamic computational graph, useful for research and prototyping.
• Keras — a high-level API for TensorFlow, simplifying model creation.
• scikit-learn — for data preprocessing and classic machine learning models.

For example, with PyTorch, you can quickly define a simple neural network:

import torch
import torch.nn as nn

class SimpleNN(nn.Module):
    def __init__(self):
        super(SimpleNN, self).__init__()
        self.fc = nn.Linear(10, 1)

    def forward(self, x):
        return self.fc(x)

The choice of library depends on the task and team preferences.