Natural Language Processing with Sequence Models
Completed by Clemens Alexander Hall
December 13, 2020
21 hours (approximately)
Clemens Alexander Hall's account is verified. Coursera certifies their successful completion of Natural Language Processing with Sequence Models
What you will learn
Use recurrent neural networks, LSTMs, GRUs & Siamese networks in TensorFlow for sentiment analysis, text generation & named entity recognition.
Skills you will gain
- Category: Generative Model Architectures
- Category: Embeddings
- Category: Recurrent Neural Networks (RNNs)
- Category: Large Language Modeling
- Category: Deep Learning
- Category: Machine Learning Methods
- Category: Tensorflow
- Category: Model Training
- Category: Natural Language Processing
- Category: Text Mining
- Category: Artificial Neural Networks
