4.2 Read 6 reviews
Overview
It offers a high-level intuitive understanding of deep learning fundamentals and guides you through coding and training models using Multi-Backend Keras (formerly known as Keras Core)—a new version of Keras that allows users to interact with different popular backend frameworks such as TensorFlow, PyTorch, and JAX.
After a brief demonstration of the Keras API, we'll go over what neural networks are and the principles behind training and evaluating them.
Features
- Next, in the Multi-Backend Deep Learning with Keras course from Udacity you'll learn how to leverage powerful deep learning frameworks through the user-friendly Multi-Backend Keras abstraction.
- Finally, you'll build your own increasingly-complex Keras image classifiers for a self-driving car use case.
Programme Structure
Multi-Backend Deep Learning with Keras
- This lesson presents Multi-Backend Keras.
- Learn neural network fundamentals, leverage TensorFlow, PyTorch, and JAX, and practice building GPT and image classification models with Keras.
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
Web Technologies & Cloud Computing View 415 other Short Courses in Web Technologies & Cloud Computing in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
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
Prior to enrolling, you should have the following knowledge:
- Intermediate Python
- NumPy
Tuition Fees
Additional Details
- This program can be paid for with the Udacity subscription.
Funding
Improve page content