TensorFlow for deep learning bootcamp : zero to mastery.

Format:

Video

Contributor:

Bourke, Daniel, instructor.

Zero To Mastery Inc., instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Machine learning.

Artificial intelligence.

Physical Description:

1 online resource (1 video file (62 hr., 23 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 62-hour course, build practical deep learning skill with TensorFlow across regression, classification, computer vision, NLP, transfer learning, and forecasting. Train, evaluate, improve, save, and explain models through hands-on experiments with real datasets. What I will be able to do after this course Build TensorFlow models for regression and classification Manipulate tensors with TensorFlow and NumPy Train CNNs for computer vision tasks Apply transfer learning and fine-tuning workflows Create NLP and time-series models with deep learning Course Instructor(s) Daniel is a self-taught Machine Learning Engineer and instructor with experience at Max Kelsen across healthcare, eCommerce, finance, retail, and other industries. His machine learning writing and videos have reached more than 5 million views, and he teaches with an accessible, practical style. Who is it for? This is for Python learners, aspiring machine learning engineers, data scientists, and developers who want hands-on TensorFlow practice. It suits learners ready to work through real projects in deep learning, computer vision, NLP, and forecasting.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808656712

OCLC:

1609867772