Datacamp – Deep Learning for Text with PyTorch 2023-11

Deep Learning for Text with PyTorch, Embark on an exciting journey into deep learning for text with PyTorch. This course will equip you with the skills to tackle various text-related challenges. You’ll dive into the principles of text processing with encoding and embedding. You’ll apply various models, including CNNs, RNNs, GANs, and pre-trained models, using text data. Finally, you’ll delve into advanced topics, including transfer learning techniques, attention mechanisms, and how to protect your models from adversarial attacks. By the end of this course, you’ll have the skills to build powerful deep learning models for text. Explore text classification and its role in Natural Language Processing (NLP). Apply your skills to implement word embeddings and develop both Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for text classification using PyTorch, and understand how to evaluate your models using suitable metrics.

What you’ll learn

• Text Classification with PyTorch
• Text Generation with PyTorch
• Advanced Topics in Deep Learning for Text with PyTorch

Specificatoin of Deep Learning for Text with PyTorch

• Publisher : Datacamp
• Teacher : Shubham Jain
• Language : English
• Level : All Levels
• Number of Course : 4
• Duration : 4 hours to complete the course

Content of Deep Learning for Text with PyTorch

Requirements

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Subtitle : English

Quality: 720p

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Download – 106 MB

File size

106 MB