Keras Training in Online Remote Instructor Led

Keras Training in Online Remote Instructor Led

Local, instructor-led live Keras training courses demonstrate through interactive hands-on practice how to use Keras for fast experimentation with deep neural networks.

Keras training is available as "onsite live training" or "remote live training". Onsite live Keras training can be carried out locally on customer premises in Online Remote Instructor Led or in NobleProg corporate training centers in Online Remote Instructor Led. Remote live training is carried out by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Online Event
Learn Keras in our training center in Online Remote Instructor Led. This is a trainer-led online training event. Remote training courses (Live Instructor-led online) are taught by an instructor one-to-one or with a small number of people. Participants and the trainer interact with each using virtual desktops and video calls. Most courses are exactly the same as their classroom equivalent, including the course duration, content and student materials. In the case of computer courses, each participant has their own remote desktop where they can perform... Read more

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Keras Course Outlines in Online Remote Instructor Led

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
This instructor-led, live training in Online Remote Instructor Led (onsite or remote) is aimed at technical persons who wish to apply deep learning model to image recognition applications.

By the end of this training, participants will be able to:

- Install and configure Keras.
- Quickly prototype deep learning models.
- Implement a convolutional network.
- Implement a recurrent network.
- Execute a deep learning model on both a CPU and GPU.
21 hours
Overview
This instructor-led, live training in Online Remote Instructor Led (onsite or remote) is aimed at developers who wish to build a self-driving car using deep learning techniques.

By the end of this training, participants will be able to:

- Use computer vision techniques to identify lanes.
- Use Keras to build and train convolutional neural networks.
- Train a deep learning model to differentiate traffic signs.
- Simulate a fully autonomous car.
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