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Overview
Within this Intro to TensorFlow for Deep Learning course from Udacity you will learn to build, train, and optimize your own networks using TensorFlow.
Key facts:
- The course also introduces transfer learning, leveraging pre-trained models for enhanced performance.
- Designed for swift proficiency, this course prioritizes hands-on learning and real-world applications.
Programme Structure
Courses include:
- Machine Learning
- Your First Model - Fashion MNIST
- Going Further With CNNs
- Transfer Learning
- Saving and Loading Models
- Time Series Forecasting
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Machine Learning View 213 other Short Courses in Machine Learning in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
No prior technical experience required.
- You will need to be able to communicate fluently and professionally in written and spoken English.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- Free Course
Funding
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