000			01454nam a2200193 4500
005			20260313143432.0
020			_a9789362249197
082			_bSCH
084			_2Colon Classification
100			_aSchweinfurth, Jens _911211
245			_aArtificial Neural Network Architectures _cby Jens Schweinfurth
260			_aNew Delhi: _bDiscovery Publishing House, _c2025.
300			_av, 215 p.
520			_aThis book serves as an introduction to neural network concepts, offering insights into its fundamental elements and operational principles. Artificial Neural Network Architectures elucidates the key components of neural networks, including neurons, layers, and connections, highlighting their roles in information processing and decision-making. It provides a comprehensive overview of different types of neural networks, such as feedforward networks, recurrent networks, and convolutional networks, each tailored for specific tasks ranging from pattern recognition to sequence prediction. In essence, this book caters to a diverse audience interested in harnessing the power of neural networks for developing intelligent systems capable of learning and adapting autonomously, thereby contributing to the ongoing evolution of artificial intelligence in various scientific and technological domains.
650			_aNeural Network Architectures _911759
650			_aNeural networks _94306
650			_aArtificial intelligence
942			_2ddc _cBK
999			_c757572 _d757572