You will gain the skills to build smarter, faster, and efficient deep learning systems with practical examples. By the end of this book, you will be up to date with the latest advances and current ...

In this beginner-friendly course, instructor Frederick Nwanganga covers the fundamental concepts and techniques necessary to understand and implement basic deep learning models. Discover practical ...

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science ...

Why Python for Deep Learning. Python is a popular programming language for deep learning due to its simplicity, flexibility, and the availability of a vast array of open-source libraries.

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...

Learn the fundamentals of time series analysis and how to model time series data using deep learning; Explore the world of deep learning with PyTorch and build advanced deep neural networks; Gain ...

The chapter on advanced text augmentation uses machine learning to extend the text dataset, such as Transformer, Word2vec, BERT, GPT-2, and others. While chapters on audio and tabular data have ...

Now, utilizing advances in deep learning for natural language modeling, Microsoft has announced a first in programming language modeling. "We have been working tirelessly to enable IntelliCode for ...