Description
Deep Learning for Text with PyTorch, the Deep Learning for Text with PyTorch course is published by Datacamp Academy. Take an exciting journey into deep learning for text with PyTorch. This course introduces you to the skills of dealing with various text-related challenges. In the following, you will get to know the principles of text processing with encoding and embedding. You will apply various models including CNNs, RNNs, GANs and pre-trained models using textual data. Finally, you’ll cover advanced topics including transfer learning techniques, attention mechanisms, and how to protect your models from adversary attacks. At the end of this course, you will have the skills to build powerful deep learning models for text. Examining text classification and its role in natural language processing (NLP). You will apply your skills to implement word embedding and develop Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) for text classification using PyTorch and understand how to build your models using Evaluate the appropriate criteria.
What you will learn
- Text classification with PyTorch
- Text generation with PyTorch
- Advanced topics in deep text learning with PyTorch
Details of Deep Learning for Text with PyTorch course
- Publisher: Datacamp
- teacher : Shubham Jain
- English language
- Education level: all levels
- Number of courses: 4
- Training duration: 4 hours to complete the course
Chapters of the Deep Learning for Text with PyTorch course
Course prerequisites
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
106 MB
Be the first to comment