What deep learning really means

Besides image recognition, CNNs have been applied to natural language processing, drug discovery, and playing Go. Natural language processing (NLP) is another major application area for deep learning. In addition to the machine translation problem addressed by Google Translate, major NLP tasks include automatic summarization, co-reference resolution, discourse analysis, morphological segmentation, named entity recognition, natural language generation, natural language understanding, part-of-speech tagging, sentiment analysis, and speech recognition. In addition to CNNs, NLP tasks are often addressed with recurrent neural networks (RNNs), which include the Long Short Term Memory (LSTM) model. As I mentioned earlier, in recurrent neural networks, neurons can influence themselves, either directly, or indirectly through the next layer.