Udemy
Bootcamp
0
Deep learning: A Natural Language Processing Bootcamp
About this course
The course walks you through the practical steps of applying TensorFlow to natural language processing, starting with breaking text into tokens and moving on to representing words as vectors. You’ll then explore recurrent neural networks and other modern NLP techniques, implementing each concept in Python as you go. By the end, you’ll have built several hands‑on projects that demonstrate how to process and model text data with deep learning.
C
55/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- perform tokenization of raw text data
- create word embedding vectors using TensorFlow
- design and train recurrent neural networks for NLP tasks
- implement end‑to‑end NLP pipelines in Python
- build and evaluate real‑world text‑based applications
Course objectives
- understand the theory behind tokenization and word embeddings
- apply TensorFlow operations to build NLP models
- gain practical experience by coding each concept
- connect theoretical concepts to functional projects
Deep Learning
#deep learning
#python
#machine learning
#nlp
#data science
#tensorflow
#tokenization
#word embeddings
#text analysis
#rnn
#natural language processing
#recurrent neural network
#text preprocessing
#vector representations
$19.99
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