Train and evaluate deep learning models
Deep learning is an advanced form of machine learning that emulates the way the human brain learns through networks of connected neurons.
Learning objectives
In this module, you will learn:
- Basic principles of deep learning
- How to train a deep neural network (DNN) using PyTorch or Tensorflow
- How to train a convolutional neural network (CNN) using PyTorch or Tensorflow
- How to use transfer learning to train a convolutional neural network (CNN) with PyTorch or Tensorflow
Prerequisites
- Basic mathematical concepts
- Understanding of classical machine learning techniques.
- Programming with Python