神经网络记忆
深度学习(DEEP LEARNING)
We always heard that Neural Networks (NNs)are inspired by biological neural networks. This huge representation was done in a fantastic way.
我们总是听到神经网络( NNs )受生物神经网络的启发。 这种巨大的表现是一种奇妙的方式。
Figure 1 shows the anatomy of a single neuron. The central part is called the cell body where the nucleus resides. There are various wires which pass the stimulus to the cell body and few wires which send the output to the other neurons. The thickness of the dendrites implies the weight/bias/power of the stimulus. Many neurons with various cell bodies are stacked up which forms the biological neural network.
图1显示了单个神经元的解剖结构。 中心部分称为细胞核所在的细胞体。 有各种各样的导线将刺激传递到细胞体，很少有导线将输出传递到其他神经元。 树突的厚度暗示了刺激的重量/偏见/力量。 具有各种细胞体的许多神经元被堆叠起来，形成了生物神经网络。
This same structure is implemented in Neural Networks. The input is passed through an activation function with weighted edges. The output is generated which can be passed to another activation function. Many activation functions can be stacked up, each of these is called a layer. And in a layer, we can have multiple neurons.<