ANALOG NEURAL MEMORY SYSTEM FOR DEEP LEARNING NEURAL NETWORK COMPRISING MULTIPLE VECTOR-BY-MATRIX MULTIPLICATION ARRAYS AND SHARED COMPONENTS

摘要

Numerous embodiments are disclosed for an analog neuromorphic memory system for use in a deep learning neural network. The analog neuromorphic memory system comprises a plurality of vector-by- matrix multiplication arrays and various components shared by those arrays. The shared components include high voltage generation blocks, verify blocks, and testing blocks. The analog neuromorphic memory system optionally is used within a long short term memory system or a gated recurrent unit system.