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.
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
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,
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.
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.
9 hours to finish
Transformer Community
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