- Recurrent Neural Networks (RNNs)
- Data Preprocessing
- Keras (Neural Network Library)
- Tensorflow
- PyTorch (Machine Learning Library)
- Artificial Neural Networks
- Applied Machine Learning
- Classification Algorithms
- Embeddings
- Text Mining
- Machine Learning Methods
- Natural Language Processing
Natural Language Processing with Sequence Models
Completed by Manas Dalakoti
March 12, 2021
21 hours (approximately)
Manas Dalakoti'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
