Python is recognized as one of the most commonly used programming languages worldwide, especially in the sphere of deep learning. Its adaptability and easy-to-use features make it an ideal ...

TensorFlow bundles together a slew of machine learning and deep learning models and ... A convenient front-end API lets developers build applications using Python or JavaScript, while the ...

By the end of this book, you’ll be well-versed with the concepts of natural language understanding, deep learning, and large language models (LLMs) for building various AI-based applications. This ...

You will learn about a variety of popular Bayesian Deep Learning methods, and how to implement these through practical Python examples covering a range of application scenarios. By the end of the book ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning ... to write and train graph neural networks for applications related to structured data.

A lot of software developers are drawn to Python due to its ... race to be the best Machine Learning and Deep Learning framework. PyTorch has many data science applications and can be integrated ...

Learners will be able to use hands-on modern machine learning tools and python libraries ... Vision and we will give examples of applications from each category. With the adoption of Machine Learning ...

and reinforcement learning Implement and analyze models such as linear models, kernel machines, neural networks, and graphical models Choose suitable models for different applications Implement and ...