Скачать или смотреть RNN Types of Process | Sequential Data Modeling in Deep Learning Types Process by Dr Arshad Afridi

In this video lecture Recurrent Neural Network (RNN) Types of Process are discussed. Sequential Data Modeling in Deep Learning Types Process like One to One, One to Many, Many to One, Many To many are discussed in details by Dr Arshad Afridi.

Example of One to Many sequential data modeling is Image Captioning Image → sequence of words.
Example of Many to One sequential data modeling is Sentiment Classification sentence → sentiment.
Example of many to many process of sequential data modeling is Machine Translation sentence → sentence.
Example of synced many to many process of sequential data modeling are Stock Price Prediction, Prediction of next word.
Each case is discussed for Training and Testing are discussed in details.

One to Many
Caption Generation
Image is represented by a CNN
Word Embedding at the input layer
Softmax at the output layer

Many to Many
Word Embedding


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RNN Example Captioning Image, image to sequence of words through RNN.
RNN Example Sentiment Classification sentence to sentiment,
RNN Example Machine Translation sentence to sentence,
RNN Example Stock Price Prediction, Prediction of next word.

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