Hands-On GPU Computing with Python

The rise of AI and the need for GPUs

CUDA paved the way to the development of libraries such as cuDNN for deep neural networks, which are essential in the field of deep learning as a new approach within machine learning and as a part of AI programming through GPUs. The cuDNN library can be installed and invoked within your developmental code.

AI studies began in the 1950s and led to the creation of machine learning. Machine learning has now evolved toward deep learning, which uses neural networks implementations to train AI algorithms on large datasets. Over the years, several machine learning and deep learning libraries have been created and are under active development, such as TensorFlow, Keras, Theano, and many others.

Going a step further ...