Source: https://www.udemy.com/course/applied-machine-learning-deep-learning-with-pytorch/What you’ll learn
- Build machine learning regression & classification models
- Develop CNN, RNN, MLP, and LSTM architectures in PyTorch
- Perform NLP tasks like sentiment analysis & spam detection
- Implement image classification models for handwritten alphabets & traffic signs
- Convert notebooks into modular Python project structures
Requirements
- Basic Python knowledge
- Understanding of machine learning concepts
- No prior PyTorch experience required
- No prior deep learning experience required
- Very basic maths
Download Links
Password: cms.ddpanda.org
