LSTM Neural Network for Textual Ngrams

Cognitive neuroscience is the study of how the human brain functions on tasks like decision making, language, perception and reasoning. Deep learning is a class of machine learning algorithms that use neural networks. They are designed to model the responses of neurons in the human brain. Learning can be supervised or unsupervised. Ngram token models are used extensively in language prediction. Ngrams are probabilistic models that are used in predicting the next word or token. They are a statistical model of word sequences or tokens and are called Language Models or Lms. Ngrams are essential in creating language prediction models. We are exploring a broader sandbox ecosystems enabling for AI. Specifically, around Deep learning applications on unstructured content form on the web.

认知神经科学（Cognitive neuroscience）是研究人类大脑如何完成决策、语言、感知与推理等任务的学科。深度学习（Deep learning）是一类采用神经网络的机器学习算法，其设计初衷是模拟人类大脑中神经元的响应活动。学习方式可分为监督学习与无监督学习两类。N元语法（Ngram）Token模型在语言预测任务中应用广泛。N元语法是一类用于预测下一个单词或Token的概率模型，本质上是针对单词序列或Token的统计模型，也被称为语言模型（Language Models，简称LMs）。N元语法在构建语言预测模型的过程中至关重要。我们正在探索更具包容性的AI沙箱生态系统，具体围绕深度学习在网页非结构化内容上的应用展开。