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PDF Editor FAQ

Which technology companies have made their products or technology overly complex, largely to gain a business advantage?

Microsoft did this with file formats for Office, in order to make it difficult or impossible for a competitor's products to be able to encode/decode documents created by Word/Excel/etc.What are some other examples?

What are encoder-decoder models in recurrent neural networks?

The encoder-decoder models in context of recurrent neural networks (RNNs) are sequence to sequence mapping models. An RNN encoder-decoder takes a sequence as input and generates another sequence as output.For example, a sentence in English can be considered as a sequence (of words) which can be input and a French translation of the sentence is generated as an output which again is a sequence (of words).As the name suggests, encoder-decoder models consist of two parts: an encoder and a decoder. The encoder network is that part of the network that takes the input sequence and maps it to an encoded representation of the sequence. The encoded representation is then used by the decoder network to generate an output sequence.See this tutorial on Sequence-to-Sequence Models for further details and useful links.

How is word2vec different from the RNN encoder decoder?

Thanks for the A2A :)I still need to read more about the Encoder-Decoder model, but from what I can gather, they're trained on completely different data with entirely different objectives.RNN Encoder-Decoder is trained on sentence-aligned bilingual data, and its objective is to reproduce the target (French) sentence given the source (English) sentence.word2vec, on the other hand, runs on monolingual data that is not aligned to anything. The exact objective varies (word2vec contains several algorithms), but it's always somehow connected to the language-modeling objective of predicting a word given its context.Another major difference is that RNNs can represent a token stream of arbitrary length, while word2vec represents only one token at a time, and uses the order-oblivious CBOW heuristic (which is just vector addition) to represent a stream.

Comments from Our Customers

It is easy to do what you want will pdfs. Going between pdfs and word and pdfs and excel is pretty handy, as well as being able to edit.

Justin Miller