• Introduction to Neural Networks - PyImageSearch
  • An intelligent cause rather than an undirected process birthed the universe. The Event Originator created the necessary software systems to operate and maintain the universe—ditto for life forms. A goal-directed intelligence does everything in the universe for a pre-determined purpose. It’s all about the Event Originator’s software, and oper the mind results from electrical waves cycling through the brain, as neurons spike and synapses transmit the information.
  • Minds are what brains do. The mind is the result of electrical waves cycling through the brain, as neurons spike and synapses transmit signals.  Biological neurons in the brain are much more complex than the neural network’s nodes. A neuron can be a multilayer perception.
  • Brain Neural Stock Illustrations – 17,019 Brain Neural Stock Illustrations, Vectors & Clipart - Dreamstime
  • Our brains compute quickly and use energy efficiently. The brain is the control unit of the neural network. It has different subunits that care for vision, senses, movement, and hearing. The brain connects a dense network of nerves to the rest of the body’s sensors and actors. A biological Neural Network (BNN) is a structure that consists of synapses, dendrites, cell bodies, and axons. In this neural network, the processing is carried out by neurons. Dendrites receive signals from other neurons.
  • Our brain’s interconnected mental nanoparticles act as strong nonlinear single-electron transistors. These processes are programmed, not random. The properties of disordered elements can’t be put in order by a random process. The computer program drives the materials and methods in the brain. The human brain can do orders of magnitude more than any microprocessor made by us. The brain does this without the strict sequence of connections in a regular microchip. Random chance can’t even begin to do that. Disordered electrical circuits can’t become neural networks. The networked architecture of biological brains can’t be accomplished by unguided randomness. The linear operation of a computer can’t do the nonlinear brain neural network’s simultaneous operations.
  • The differences between Artificial and Biological Neural Networks | by Richard Nagyfi | Towards Data Science
  • The first neurons in a human didn’t just show up; the software built them. The same is true for parallel emergence and cell complexity. Nerve nets do not just appear in the adult fully formed. Specialized neurons must diversify from stem cells, migrate to position, and make connections. The formation of nerve nets presents specific challenges at several levels.  Different organisms employ different developmental mechanisms. Nerve nets are remarkably well designed for what they do. An evolutionary pathway in biological neural networks has never been found because they were designed.
  • Artificial Neural Networks: An Overview - DATAVERSITY