Natural Language Processing Course using Deep Learning

Course Description:

Natural Language Processing using Deep Learning course is suited for those who want to learn how to process and understand text. It covers the most popular architectures, including Recurrent Neural Networks and Hidden Markov Models.
It would be preferred to take the Basic Machine Learning course beforehand so the student is accustomed to the vocabulary and the main frameworks.

Prerequisites for the Natural Language Processing course:

Machine Learning in Tensorflow/Keras Fundamentals

Nice to have:

• Basic Deep Learning
– Neurons
– Types of Layers
– Networks
– Loss Functions
– Optimizers
– Overfitting
– Tensorflow

• Basic Natural Language Processing
– Tokenization
– Bag of words
– Tf-idf
– Stemming
– Lemmatization
– Language models
– Sentiment analysis

Note:

Every student has assigned to him his own virtual lab environment setup.

Additional details:

To attend this online course, you need to have:
• PC/Laptop with internet access
• Updated web browser