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Gradient-free optimization of artificial and biological networks using learning to learn /
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Gradient-free optimization of artificial and biological networks using learning to learn [E-Book] /
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Neural assemblies : an alternative approach to classical artificial intelligence /
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Natural language processing with Transformers : bulding language applications with Hugging Face /
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Bio-inspired neurocomputing /
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Machine learning with neural networks : an introduction for scientists and engineers [E-Book] /
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Automatic analysis of cortical areas in whole brain histological sections using convolutional neural networks /
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Deep Learning - Grundlagen und Implementierung : neuronale Netze mit Python und PyTorch programmieren /
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SpiNNaker : a spiking neural network architecture /
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Dynamics of Neural Networks [E-Book] : A Mathematical and Clinical Approach /
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Automatic analysis of cortical areas in whole brain histological sections using convolutional neural networks [E-Book] /
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Neural Information Processing [E-Book] : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III /
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Detection and statistical evaluation of spike patterns in parallel electrophysiological recordings /
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Detection and statistical evaluation of spike patterns in parallel electrophysiological recordings [E-Book] /
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Time-space, spiking neural networks and brain-inspired artificial intelligence /
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Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects /
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Loy, James
2019
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Hands-on neural networks : learn how to build and train your first neural network model using Python [E-Book] /
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Hands-on neural networks with Keras : design and create neural networks using deep learning and artificial intelligence principles [E-Book] /
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Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling [E-Book] /
Di, Wei
2018
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Deep learning with PyTorch : a practical approach to building neural network models using PyTorch [E-Book] /
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