- Hands-On Deep Learning Architectures with Python
- Yuxi (Hayden) Liu Saransh Mehta
- 149字
- 2021-06-24 14:48:10
Chatbots
You might find this is the coolest application! Computers talking to us like humans has been a fascinating desire. It gives us a sense of computers being intelligent. However, most of the chatbot systems built earlier were based on a knowledge base and rules that define which response to pick from it. This made chatbots a very closed domain and they sounded quite unnatural. But with a little tweaking to the encoder-decoder architecture, we saw machine translation can actually make a chatbot generate a response on its own. The encodings learn the context of the input sentences, and, if the whole architecture is trained on sample queries and responses, whenever the system sees a new query, it can generate its response based on the learning. A lot of platforms like IBM Watson, Bottr, and rasa are building deep learning powered tools to build chatbots for business purposes.
- Mastering Proxmox(Third Edition)
- Python Artificial Intelligence Projects for Beginners
- Natural Language Processing Fundamentals
- Blockchain Quick Start Guide
- 精通Windows Vista必讀
- Windows 8應(yīng)用開發(fā)實戰(zhàn)
- Python Data Science Essentials
- RPA:流程自動化引領(lǐng)數(shù)字勞動力革命
- 精通特征工程
- C語言寶典
- Grome Terrain Modeling with Ogre3D,UDK,and Unity3D
- 菜鳥起飛系統(tǒng)安裝與重裝
- 機床電氣控制與PLC
- Kubernetes on AWS
- 當(dāng)產(chǎn)品經(jīng)理遇到人工智能