Spécialisation Traitement automatique du langage naturel
Break into the NLP space. Master cutting-edge NLP techniques through four hands-on courses!
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Ce que vous allez apprendre
Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies & translate words
Use dynamic programming, hidden Markov models, and word embeddings to implement autocorrect, autocomplete & identify part-of-speech tags for words
Use recurrent neural networks, LSTMs, GRUs & Siamese network in TensorFlow & Trax for sentiment analysis, text generation & named entity recognition
Use encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, build chatbots & question-answering
Compétences que vous acquerrez
À propos de ce Spécialisation
Projet d'apprentissage appliqué
This Specialization will equip you with the state-of-the-art deep learning techniques needed to build cutting-edge NLP systems:
• Use logistic regression, naïve Bayes, and word vectors to implement sentiment analysis, complete analogies, and translate words, and use locality sensitive hashing for approximate nearest neighbors.
• Use dynamic programming, hidden Markov models, and word embeddings to autocorrect misspelled words, autocomplete partial sentences, and identify part-of-speech tags for words.
• Use dense and recurrent neural networks, LSTMs, GRUs, and Siamese networks in TensorFlow and Trax to perform advanced sentiment analysis, text generation, named entity recognition, and to identify duplicate questions.
• Use encoder-decoder, causal, and self-attention to perform advanced machine translation of complete sentences, text summarization, question-answering and to build chatbots. Models covered include T5, BERT, transformer, reformer, and more!
Working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & statistics
Working knowledge of machine learning, intermediate Python experience including DL frameworks & proficiency in calculus, linear algebra, & statistics
Cette Spécialisation compte 4 cours
Natural Language Processing with Classification and Vector Spaces
In Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will:
Natural Language Processing with Probabilistic Models
In Course 2 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will:
Natural Language Processing with Sequence Models
In Course 3 of the Natural Language Processing Specialization, offered by deeplearning.ai, you will:
Natural Language Processing with Attention Models
In Course 4 of the Natural Language Processing Specialization, offered by DeepLearning.AI, you will:
Offert par

deeplearning.ai
DeepLearning.AI is an education technology company that develops a global community of AI talent.
Foire Aux Questions
What is the refund policy?
Puis-je m'inscrire à un seul cours ?
Is financial aid available?
Puis-je suivre le cours gratuitement ?
Ce cours est-il vraiment accessible en ligne à 100 % ? Dois-je assister à certaines activités en personne ?
Puis-je obtenir des crédits universitaires si je réussis la Spécialisation ?
Puis-je obtenir des crédits universitaires si je réussis la Spécialisation ?
What background knowledge is necessary?
Is this a standalone Course or a Specialization?
What makes this Specialization so different?
Do I need to take the courses in a specific order?
How long does it take to complete the Specialization?
Quelle est la durée nécessaire pour terminer la Spécialisation ?
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.