Modern deep learning foundations.

Format:

Video

Contributor:

Or, Barak, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Deep learning (Machine learning).

Physical Description:

1 online resource (1 video file (02 hr., 02 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2025.

Summary:

In this 2-hour course, you'll gain a practical and conceptual understanding of deep learning--from its foundations to modern architectures and industrial deployment. You'll explore neural networks, CNNs, RNNs, transformers, and hands-on tools like TensorFlow and PyTorch to build and deploy models effectively. What I will be able to do after this course Explain the differences between ML and deep learning Build and train neural networks from scratch Apply CNNs, RNNs, and transformers to real tasks Optimize training using regularization and augmentation Use TensorFlow, PyTorch, and Google Colab effectively Course Instructor(s) Dr. Barak Or is an AI expert and Academic Director of Google's AI Development Program. He founded MetaOr.AI and has led innovation in ML-based navigation and health tech. Holding a Ph.D. in inertial sensing, he has earned multiple national innovation awards. Who is it for? This course is for data scientists, ML engineers, and developers seeking to advance their deep learning skills. Ideal for learners with Python skills and a foundational grasp of math and ML concepts.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-80667-749-0

OCLC:

1550495630