Natural Language Processing with TensorFlow
INTERACTIVE COURSE

Natural Language Processing with TensorFlow

Intermediate

122 Lessons

15h

Certificate of Completion

AI Explanations
AI Explanations
Natural Language Processing with TensorFlow
33 Playgrounds
10 Quizzes
216 Illustrations

Takeaway Skills

Familiarity with word embeddings, including the skip-gram model, continuous bag-of-words (CBOW), and Global Vector representations (GloVe)

Understanding of deep models like CNNs, RNNs, LSTMs, and GRUs

Hands-on experience building NLP tools using TensorFlow, Keras, and Hugging Face libraries

Working knowledge of transformers and their variants in sequence-to-sequence modeling

Course Overview

Deep learning has revolutionized natural language processing (NLP) and NLP problems that require a large amount of work in terms of designing new features. Tuning models can now be efficiently solved using NLP. In this course, you will learn the fundamentals of TensorFlow and Keras, which is a Python-based interface for TensorFlow. Next, you will build embeddings and other vector representations, including the skip-gram model, continuous bag-of-words, and Global Vector representations. You will then learn ...Show More

Course Content

1

Introduction to Natural Language Processing

2

Understanding TensorFlow 2

3

Word2vec: Learning Word Embeddings

4

Advanced Word Vector Algorithms

5

Sentence Classification with Convolutional Neural Networks

6

Recurrent Neural Networks

10 Lessons

7

Understanding Long Short-Term Memory Networks

7 Lessons

8

Applications of LSTM: Generating Text

9 Lessons

9

Sequence-to-Sequence Learning: Neural Machine Translation

13 Lessons

10

Transformers

10 Lessons

11

Image Captioning with Transformers

10 Lessons

12

Final Remarks

1 Lesson

13

Appendix: Mathematical Foundations and Advanced TensorFlow

6 Lessons

COURSE AUTHOR

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