#Dive into deep learning how to

The research community’s recent excitement about OpenAI’s ChatGPT is an opportunity to help explain one of the key technologies behind the generative AI model. Zhang cites the new content related to reinforcement learning as an example of the project leaders’ desire to keep content current. The book also has added three new chapters to volume 2: reinforcement learning, Gaussian processes, and hyperparameter optimization each chapter is written by Amazon scientists, or a scientist affiliated with Amazon. If members of the JAX community wish to learn deep learning they can come to D2L.ai and learn using their favorite language.” “So that’s why we decided to quickly add the JAX implementation to our book. “We have noticed a growing number of projects that have been implemented in JAX in both open-source projects and research papers,” says Aston Zhang, an Amazon senior scientist, and one of the book’s original coauthors.

The book also supports the MXNet, PyTorch and TensorFlow programming frameworks. The authors say that, to the best of their knowledge, Dive into Deep Learning is the first deep-learning book to offer a JAX implementation.

The interactive book, which has been adopted by more than 400 universities worldwide, added an implementation of Google JAX, a Python programming library for high-performance numerical computing whose application programming interface (API) is based on NumPy, a collection of functions used in scientific programming.

#Dive into deep learning how to

Learn how to use Amazon Translate to simplify the process of translating Dive into Deep Learning into other languages, with code and data examples.