Artificial Intelligence Machine Learning Deep Learning Introduction For beginners, it can be difficult to distinguish between artificial intelligence (AI), machine learning (ML), and deep learning (DL) when first encountering them, as well as to understand their connections, concepts, and what they can do. 1 Concepts and Definitions In simple terms, artificial intelligence is about making … Read more
Popular Science Article The Past and Present of Machine Translation From the Tower of Babel to Esperanto, and now to machine translation, humanity has been trying to eliminate the barriers of language communication. The Tower of Babel fell short, Esperanto failed, where will machine translation go? Let us first review the development history of machine … Read more
Follow the official account “ML_NLP“ Set as “Starred“, receive heavy content promptly! Selected by | Ahmed BESBES Author | Ahmed Besbes Transferred from | Machine Heart This article introduces 7 models for text classification tasks, including traditional bag-of-words models, recurrent neural networks, convolutional neural networks commonly used in computer vision tasks, and RNN + CNN. … Read more
During the learning process, I collected relevant flowcharts for each chapter of the book “Deep Learning with TensorFlow: Introduction, Principles, and Advanced Practice.” This makes the knowledge points in the book more intuitive and easier for readers to learn and review. The flowcharts were compiled by a team I encountered before, known as the Code … Read more
Click the “MLNLP” above to select the “Starred” public account. Heavyweight content delivered promptly. Author: Tian Yu Su https://zhuanlan.zhihu.com/p/27087310 Introduction Recently, I finished reading some foreign materials on LSTM, mainly referencing Colah’s blog and Andrej Karpathy’s blog on RNN and LSTM, and I am preparing to implement an LSTM model. The basic framework of the … Read more
Recurrent Neural Networks In traditional neural networks, the model does not pay attention to what information from the previous moment can be used for the next moment; it only focuses on the current moment’s processing. For example, if we want to classify the events that occur at each moment in a movie, knowing the events … Read more
Follow us on WeChat “ML_NLP” Set as “Starred” for heavy content delivered first-hand! Source | Zhihu Author | DengBoCong Link | https://www.zhihu.com/question/439243827/answer/1685085848 Editor | Machine Learning Algorithms and Natural Language Processing WeChat Account This article is for academic sharing. If there is an infringement, please contact us to delete it. I wrote a lot specifically … Read more
LSTM is a type of time-recursive neural network suitable for processing and predicting important events with relatively long intervals and delays in time series. It has achieved excellent results in a series of applications such as natural language processing and language recognition. “Long Short Term Memory Networks with Python” is a book by Australian machine … Read more
Follow the public account “ML_NLP“ Set as “Starred“, heavy content delivered first time! From | Zhihu Address | https://www.zhihu.com/question/278825804/answer/402634502 Author | Tian Yu Su Editor | Machine Learning Algorithms and Natural Language Processing Public Account This article is for academic sharing only. If there is an infringement, please contact the background for deletion. I have … Read more
Recurrent Neural Networks (RNN) People do not start thinking from scratch every second, just as you do not relearn every word while reading this article; human thinking has continuity. Traditional Convolutional Neural Networks lack memory and cannot solve this problem, while Recurrent Neural Networks (RNNs) can address this issue. In RNNs, the cycle allows for … Read more