Descriptions
Deep Learning for Text with PyTorch, Get in At A Exciting journey into deep learning for text with PyTorch. This course will give you the skills to tackle various text-related challenges. You will dive into the principles of text processing with encoding and embedding. Yyou’ll apply Various models including CNNs, RNNs, GANs, and pre-trained models using text data. Finally, you will cover advanced topics including transfer learning techniques, attention mechanisms, and protecting your models from adversarial attacks. By the end of this course, you will have the skills to build high-performance 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 appropriate metrics.
What you will learn
- text Classification with PyTorch
- text Generation with PyTorch
- Progressive Topics in Deep Learning for Text with PyTorch
Specifying Deep Learning for Text with PyTorch
- Publisher : Data Camp
- Teacher: Shubham Jain
- Language: English
- Level: All levels
- Number of courses: 4
- Duration: 4 hours to complete the course
Content of Deep Learning for Text with PyTorch
Requirements
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
File size
106MB