TensorFlow : basic to advanced, 100 projects in 100 days.

Format:

Video

Contributor:

Aranha, Vivian, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Deep learning (Machine learning).

Physical Description:

1 online resource (1 video file (4 hr., 39 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

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

Summary:

In this 4-hour course, you will progress from TensorFlow setup and core tensor operations to neural network development with Keras. Practical examples connect CNNs, RNNs, transfer learning, deployment, scaling, and end-to-end ML pipelines. What I will be able to do after this course Configure TensorFlow and verify the development environment Build and evaluate neural networks with Keras Train CNNs and RNNs for image and sequence data Deploy models with TensorFlow Serving and TensorFlow Lite Create end-to-end machine learning pipelines with TFX Course Instructor(s) School of AI has delivered artificial intelligence training since 2010, with expertise spanning foundational AI, machine learning, and deep learning. Its instructors have taught more than 555,000 learners across 294 courses. Who is it for? Aspiring data scientists, machine learning engineers, developers, programmers, students, AI professionals, and self-directed learners seeking practical TensorFlow skills. Basic Python programming and foundational linear algebra and probability knowledge are recommended.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808824272

OCLC:

1614466310