Modern Natural Language Processing in Python

Modern Natural Language Processing in Python, available at $89.99, has an average rating of 4.18, with 43 lectures, based on 1695 reviews, and has 49194 subscribers.

You will learn about Build a Transformer, new model created by Google, for any sequence to sequence task (e.g. a translator) Build a CNN specialized in NLP for any classification task (e.g. sentimental analysis) Write a custom training process for more advanced training methods in NLP Create customs layers and models in TF 2.0 for specific NLP tasks Use Google Colab and Tensorflow 2.0 for your AI implementations Pick the best model for each NLP task Understand how we get computers to give meaning to the human language Create datasets for AI from those data Clean text data Understand why and how each of those models work Understand everything about the attention mechanism, lying behind the newest and most powerful NLP algorithms This course is ideal for individuals who are AI amateurs that are eager to learn how we process language nowadays or AI students that need to have a deeper and wider knowledge about NLP or Business driven people that are eager to know how NLP can be applied to their field to leverage any text data or Anyone who wants to start a new career and get a strong background in NLP, adding efficient cases to their portfolio It is particularly useful for AI amateurs that are eager to learn how we process language nowadays or AI students that need to have a deeper and wider knowledge about NLP or Business driven people that are eager to know how NLP can be applied to their field to leverage any text data or Anyone who wants to start a new career and get a strong background in NLP, adding efficient cases to their portfolio.

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Summary

Title: Modern Natural Language Processing in Python

Price: $89.99

Average Rating: 4.18

Number of Lectures: 43

Number of Published Lectures: 39

Number of Curriculum Items: 43

Number of Published Curriculum Objects: 39

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

• Build a Transformer, new model created by Google, for any sequence to sequence task (e.g. a translator)
• Build a CNN specialized in NLP for any classification task (e.g. sentimental analysis)
• Write a custom training process for more advanced training methods in NLP
• Create customs layers and models in TF 2.0 for specific NLP tasks
• Use Google Colab and Tensorflow 2.0 for your AI implementations
• Pick the best model for each NLP task
• Understand how we get computers to give meaning to the human language
• Create datasets for AI from those data
• Clean text data
• Understand why and how each of those models work
• Understand everything about the attention mechanism, lying behind the newest and most powerful NLP algorithms

Who Should Attend

• AI amateurs that are eager to learn how we process language nowadays
• AI students that need to have a deeper and wider knowledge about NLP
• Business driven people that are eager to know how NLP can be applied to their field to leverage any text data
• Anyone who wants to start a new career and get a strong background in NLP, adding efficient cases to their portfolio

Target Audiences

• AI amateurs that are eager to learn how we process language nowadays
• AI students that need to have a deeper and wider knowledge about NLP
• Business driven people that are eager to know how NLP can be applied to their field to leverage any text data
• Anyone who wants to start a new career and get a strong background in NLP, adding efficient cases to their portfolio