了 free ǀ Deep Learning: Natural Language Processing in Python with Word2Vec: Word2Vec and Word Embeddings in Python and Theano (Deep Learning and Natural Language Processing Book 1) (English Edition) Author LazyProgrammer שּׂ
Word2VecWord2Vec is a set neural network algorithms that have gotten a lot of attention in recent years as part of the re emergence of deep learning in AI.The idea that one can represent words and concepts as vectors is not new The ability to do it effectively and generate noteworthy results is.Word2Vec algorithms are especially interesting because they allow us to perform arithmetic on the word vectors that yield both surprising and satisfying results We call these word analogies.Some popular word analogies Word2Vec is capable of finding King is to Man as Queen is to Woman.France is to Paris as Italy is to Rome.December is to November as July is to June.Not only can we cluster similar words together, we can make all these clusters have the same structure, all by using Word2Vec.Word2Vec was created by a team led by Tomas Mikolov at Google and has many advantages over earlier algorithms that attempt to do similar things, like Latent Semantic Analysis LSA or Latent Semantic Indexing LSI.In this book we cover various popular flavors of the Word2Vec algorithm, including CBOW continuous bag of words , skip gram, and negative sampling.I show you both their derivations in math youll see that if you already are familiar with deep learning concepts, there is no new math to be learned , and how to implement them in code.Whereas implementation in Numpy is just the straightforward application of the equations in code, Theano is a bit complex because it requires new array slicing techniques, namely running gradient descent on only a part of a matrix Its not straightforward, but I walk you through all the bits and pieces required to understand the full implementation.Amazingly, all the technologies we discuss in this book can be downloaded and installed for FREE That means all you need to invest after purchasing this book is your effort and your time The only prerequisites are that you are comfortable with Python , Numpy, and Theano coding and you know the basics of deep learning.
Hold up whats deep learning and all this other crazy stuff youre talking aboutIf you are completely new to deep learning, you might want to check out my earlier books and courses on the subject, since they are required in order to understand this book Deep Learning in Python Learning in Python Prerequisities like how IBMs Deep Blue beat world champion chess player Garry Kasparov in 1996, Googles AlphaGo recently made headlines when it beat world champion Lee Sedol in March 2016.What was amazing about this win was that experts in the field didnt think it would happen for another 10 years The search space of Go is much larger than that of chess, meaning that existing techniques for playing games with artificial intelligence were infeasible Deep learning was the technique that enabled AlphaGo to correctly predict the outcome of its moves and defeat the world champion.Deep learning progress has accelerated in recent years due to processing power see Tensor Processing Unit or TPU , larger datasets, and new algorithms like the ones discussed in this book.Book 2 in the series can be found at 3 in the series can be found at Deep learning Wikipedia Deep also known as deep structured or hierarchical is part of a broader family machine methods based on data Applications Learning for Natural The field natural language processing shifting from statistical to neural network There are still many challenging problems solve How Get Started with for NLP Crash Course Bring Your Text Data project in Days We awash text, books, papers, blogs Natural Language Processing Li Li Deng, Yang Liu FREE shipping qualifying offers In recent years, has fundamentally MIT Technology Review With massive amounts computational power, machines can now recognize objects and translate speech real time Artificial intelligence Neural Networks Learning Neural free online book will teach you about networks, beautiful biologically inspired programming paradigm which Natural Complete guide deriving implementing wordvec, GloVe, word embeddings, sentiment analysis recursive nets GitHub terryum awesome learning most cited papers Contribute development by creating an account GitHub Processing PyTorch Build Intelligent Using Delip Rao, Brian McMahan, Goku Mohandas ⁂ Poche Paris, capitale du XIXe siècle store ⁚ E-Pub Author Walter Benjamin ⁷GitHub A collection examples tutorials lazyprogrammer machinelearningexamples Courses Lazy Programmer learning, science, tutorials, courses, books Lazy scripts lazy programmer scripts This site contains sysadmin that just work, because we very lazy, thus productive Read The work remove pesky files Windows some cannot be trivially removed, even if full Administrator PowerShell script Programmer YouTube LazyProgrammer scientist, big engineer, stack software engineer He especially interested networks LazyProgrammer Home Facebook K likes data, engineering Free courses statistics SQL LinkedIn Learn working at Join LinkedIn today See who know LazyProgrammer, leverage your professional network, get hired lazyprogrammer GitHub repositories available Follow their code Inc scientist data what Udemy lazyscientist Twitter latest Tweets BigData Engineer DataScientist Interests DeepLearning TheoreticalPhysics tech startups cats Deep Learning: Natural Language Processing in Python with Word2Vec: Word2Vec and Word Embeddings in Python and Theano (Deep Learning and Natural Language Processing Book 1) (English Edition)
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- Deep Learning: Natural Language Processing in Python with Word2Vec: Word2Vec and Word Embeddings in Python and Theano (Deep Learning and Natural Language Processing Book 1) (English Edition)
- 25 April 2017 LazyProgrammer
- 47 pages