Magnus Ekman
Learning Deep Learning
Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
The book Learning Deep Learning (LDL) teaches Deep Learning (DL) from scratch. It starts with the fundamentals of neural networks, and gradually describes more advanced architectures, including the Transformer. LDL includes well-annotated code examples. They are provided in two versions: one using the TensorFlow DL framework and one using the PyTorch framework.
Click the image of the book cover to download a sample chapter!
Magnus Ekman
Learning Deep Learning
From Perceptron to Large Language Models
The online video lectures Learning Deep Learning (LDL) teach Deep Learning (DL) from scratch. They start with the fundamentals of neural networks, and gradually describe more advanced architectures, including the Transformer and Large Language Models. The series is based on the book but extended with additional material. It includes well-annotated code examples. They are provided in two versions: one using the TensorFlow DL framework and one using the PyTorch framework.
Click the image to the right to go to the publisher's distribution channel and access sample content!
Links
NVIDIA Deep Learning Institute (DLI) book site
How to run code examples on Linux
How to run code examples on Windows
Large versions of the DL cheat sheets from Appendix J in the book:
