- Machine Learning Methods
- Deep Learning
- Tensorflow
- Regression Analysis
- Probability & Statistics
- Logistic Regression
- Predictive Modeling
- Data Preprocessing
- Model Evaluation
- PyTorch (Machine Learning Library)
- Classification Algorithms
- Artificial Neural Networks
Introduction to Neural Networks and PyTorch
Completed by Abhishek Selokar
August 20, 2022
18 hours (approximately)
Abhishek Selokar's account is verified. Coursera certifies their successful completion of Introduction to Neural Networks and PyTorch
What you will learn
Job-ready PyTorch skills employers need in just 6 weeks
How to implement and train linear regression models from scratch using PyTorch’s functionalities
Key concepts of logistic regression and how to apply them to classification problems
How to handle data and train models using gradient descent for optimization
Skills you will gain
