Sequence Fashions

About this Course

Within the fifth course of the Deep Studying Specialization, you’ll turn out to be conversant in sequence fashions and their thrilling functions similar to speech recognition, music synthesis, chatbots, machine translation, pure language processing (NLP), and extra.

By the tip, it is possible for you to to construct and practice Recurrent Neural Networks (RNNs) and commonly-used variants similar to GRUs and LSTMs; apply RNNs to Character-level Language Modeling; acquire expertise with pure language processing and Phrase Embeddings; and use HuggingFace tokenizers and transformer fashions to resolve totally different NLP duties similar to NER and Query Answering. The Deep Studying Specialization is a foundational program that can provide help to perceive the capabilities, challenges, and penalties of deep studying and put together you to take part within the improvement of modern AI know-how. It supplies a pathway so that you can take the definitive step on the planet of AI by serving to you acquire the information and expertise to stage up your profession.

SKILLS YOU WILL GAIN

• Pure Language Processing
• Lengthy Brief Time period Reminiscence (LSTM)
• Gated Recurrent Unit (GRU)
• Recurrent Neural Community
• Consideration Fashions

Syllabus – What you’ll be taught from this course

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WEEK

1

14 hours to finish

Recurrent Neural Networks

Uncover recurrent neural networks, a sort of mannequin that performs extraordinarily effectively on temporal knowledge, and several other of its variants, together with LSTMs, GRUs and Bidirectional RNNs,

WEEK

2

9 hours to finish

Pure Language Processing & Phrase Embeddings

Pure language processing with deep studying is a strong mixture. Utilizing phrase vector representations and embedding layers, practice recurrent neural networks with excellent efficiency throughout all kinds of functions, together with sentiment evaluation, named entity recognition and neural machine translation.

WEEK

3

10 hours to finish

Sequence Fashions & Consideration Mechanism

Increase your sequence fashions utilizing an consideration mechanism, an algorithm that helps your mannequin resolve the place to focus its consideration given a sequence of inputs. Then, discover speech recognition and how one can cope with audio knowledge.

WEEK

4

9 hours to finish

Transformer Community