Neural Networks |ˈnjʊərəl ˈnɛtwɜːks| - ⠜⠔⡃⡠⠃⢤⠜⠍ ⡉⠃⡌⠎⠤⡉

Neural networks are a type of artificial intelligence that is modeled after the structure and function of the human brain. They consist of layers of interconnected nodes or neurons that process and transmit information. Neural networks are trained on data and can learn to recognize patterns, classify information, and make predictions. They have numerous applications, including image and speech recognition, natural language processing, autonomous vehicles, and financial forecasting. Deep neural networks, which have many layers of neurons, are particularly powerful and have achieved state-of-the-art performance in various tasks.

— ⢃⠆⢔⡂⢊⠢⡢⠕ ⡆⣁⡔⡌⡨⡔ ⡉⢂⠘⡁⢠⠋⡂ ⡄⢂⠆⢐⢄⡒⠤⠙⢄ ⢆ ⡁⢐ ⡌⠎⡃ ⢅⠸⣈⢒⣈⡌⣂⡡ ⢉⠴⠚⢤⡨⡐⡨⠕⠚⠥ ⠙⡄⡰⠒ ⢒⡑⢒⡉⢐⡉⡠⠤⡁⠦⡁ ⡌⢠ ⠤⡰⢁⢒⠱⢊⢃⢨⠅⣐ ⠘⠖ ⢢⡃⢒⠔⣀⠕⣁⠜ ⡐⠲⡰⢒⢂⢢⠩⡰⠑ ⡆⠌⡡⠋⢉⠅ ⠋⠑⢅⡨ ⠒⡰⢒⠩⠔⠙⢊⡔⡈⡂⡆ ⡒ ⢤⡊⢡⡄⠍ ⢃⡢⠔⢐⢆⡌⠃⠡⠚⠅⣄⠪⢆⡘⡅⣠ ⠱⠴⠸⠙⠍⡠ ⡌⠴⢠ ⢅⠣⣁⡌⠢⢅⢘⢒⢡ ⠰⡊⠪ ⠰⡈⠖⡒⡑⢨⢨⠇⣈⠎ ⠇⠱ ⣁⢃⢢⠰⢘⢨⠩⠔⢒ ⢤⡨⣐⡔⡅⢈⠲⢃⠓⠬⠕ ⠒⣁⠊⡨⢠⠚⠲⢈ ⢊⢡⢈⡰⠔⡑ ⢨⠚⠴⠕⠱⢡⢐⡨⣀⣈ ⣀⡉ ⣐⠴⠦⣈⠚ ⠸⢤ ⣄⢈⡡⠕⢠⠣ ⡂⡁⡰⣁⢅⠓⢔⡂⠖ ⡤⡄⢃⠅⣁⠑⠣⢁⠰⠚⢈⡑ ⠖⡂⡘⢆⠤⠜⣂⠲ ⢃⠕⡈⣂⡉⡊⡁⠥⠥⠎⢢⡔⡃ ⠘⡘⠬⡂⠤⡠⠍⠊⠃⠦ ⠣⡂ ⠨⡤⠋⡆⡒⠍ ⠍⠌⡃⢆⡔⡄⣄⠤⠤ ⢊⠪⢌⠓ ⡉⣐⠎⢄⡆ ⠒⠘⡑⠔⡅⡅ ⢅⡈⢐⠘⢑⣄⣄⡒⠩⠃⢨⡑ ⡘⢘⢂⢠⡒⢅⡆⠬⢔ ⡃⠍⡉⠰⠣⡤⢐⠆⢠⢢⢉⠱⡁ ⠓⢑⡉⠇⣄⠘⠇⢘⢃ ⠪⡤ ⠅⢌⢘⢁⠖⢔⡃⣠⡡ ⡁⡌⡊⢨⣁⡑⡡ ⢈⢨⡡⠥⢈⠃⠸⠔⣄ ⡔⢰⢑⢤⠙ ⠅⠓⡐⢡⠘⡌⡄⡘⠔ ⢤⠋⡈⠬⢁⡊⡌⠙⢰⠲ ⠘⢘ ⢠⠘⠙⢢⠴⠸⢊⠎⠣⡈⠓⢠⢰ ⡰⠙⠉⣂⡅⡉⢠⣁⢑⢑ ⡒⣁⣁⠑⣀⣂⡒ ⡁⡨⢆⠒⡊⣀⡑ ⠙⠰⡅⠡⠴⢤⠉⢈ ⢊⠑⡢⠓⡡⠅⢠ ⣠⢠⣈ ⢰⡠⠬⡠⡔ ⠰⢨⠕⠙⣠⠅ ⡈⡌⢰⠓⡡ ⠉⣂⡆⠑⡢⠕⡌⢤⢁ ⢊ ⢨⠉⢉⡢⠃⡂⠙⠬ ⠚⠒⠨⢌⣈⡅⢊⣐⢊ ⢰⢤ ⡂⡉⠖⡉⡘⣈⢉ ⠴⡆⡘⢊⠕⠑⢒⡒⢆ ⢠⢔⡂⢐⢅⢅⠥⡃⡨⠊⢘ ⡁ ⢔⢆⠸⠬⢘⣈ ⡆⠴⣁⠕⠔⠃⠑⢨⢡⡊

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