Featured byUdacity
Overview
Throughout this Introduction to Neural Networks with TensorFlow course from Udacity you'll create an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.
Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.
- Gain proven experience
- Retain knowledge longer
- Apply new skills immediately
Programme Structure
Courses include:
- Implementing Gradient Descent
- Training Neural Networks
- Deep Learning with TensorFlow
- Image Classifier Project
Key information
Duration
- Part-time
- 1 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Information Technology (IT) View 384 other Short Courses in Information Technology (IT) in United StatesAcademic 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
Prior to enrolling, you should have the following knowledge:
- Multivariable calculus
- Basic descriptive statistics
- Python for data science
- Basic probability
- Linear algebra
You will also need to be able to communicate fluently and professionally in written and spoken English.
Tuition Fee
To always see correct tuition fees
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International
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 1 months. -
National
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 1 months. -
In-State
249 USD/moduleTuition FeeBased on the tuition of 249 USD per module during 1 months.
Students can save 15% by paying upfront for a four-month subscription for $996.
Funding
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