Posted by Introduction to Deep Learning is a 5 part video lecture series from Adaptive Linear Neurons to Zero-shot Classification with Transformers from Sebastian Raschka.
The 5 part lecture series begins with an introduction to deep learning, moving to neural networks and deep learning for computer vision and finishing the course with deep generative models, GANs etc. Code examples can be downloaded from the associated GitHub repository as Jupyter notebooks.
Sebastian Raschka is an Assistant Professor of Statistics at UW-Madison focusing on machine learning and deep learning research. This includes both deep learning method development and applications to both computer vision and computational biology. To find out more, please take a look at his recent research projects.
Great resource for anyone looking for an introduction to deep learning with code examples.
Check out Introduction to Deep Learning.