What will you learn in this Natural Language Processing in TensorFlow Course
Build natural language processing systems using TensorFlow.
Process text, including tokenization and representing sentences as vectors.
Apply RNNs, GRUs, and LSTMs in TensorFlow.
Train LSTMs on existing text to create original poetry and more.
Program Overview
1. Sentiment in Text
⏳ Duration: 5 hours
Learn to analyze sentiment in text data using neural networks, focusing on binary classification tasks.
2. Word Embeddings
⏳ Duration: 6 hours
Understand how to represent words as vectors and utilize embeddings to capture semantic meaning.
3. Sequence Models
⏳ Duration: 6 hours
Dive into sequence modeling with RNNs, GRUs, and LSTMs to handle sequential data effectively
4. Sequence Models and Literature
⏳ Duration: 6 hours
Apply sequence models to generate text, including training an LSTM to create original poetry
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Job Outlook
Equips learners for roles such as NLP Engineer, Machine Learning Engineer, and AI Specialist.
Applicable in industries like technology, healthcare, finance, and e-commerce where language models are integral.
Enhances employability by providing hands-on experience with cutting-edge NLP techniques and tools.
Supports career advancement in fields requiring expertise in deep learning and natural language understanding.
Specification: Natural Language Processing in TensorFlow
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