Online or onsite, instructor-led live Apache MXNet training courses demonstrate through interactive hands-on practice how to use Apache MXNet to build and deploy a deep learning model for image recognition.
Apache MXNet training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Swatar onsite live Apache MXNet trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Swatar, City Centre
Regus Swatar, City Centre, 2nd Floor, Tower Business Centre, Swatar, Malta, BKR4013
The Swatar City Centre is on the second floor of Tower Business Centre, in the Swatar suburb of Birkirkara, a key commercial ...
The Swatar City Centre is on the second floor of Tower Business Centre, in the Swatar suburb of Birkirkara, a key commercial district.
On the same road is the HSBC global call centre. Malta is a popular location for back office services, especially call centres, because of its reliable telecoms infrastructure and English speaking population.
The Swatar City Centre is near major financial services, offshore banks and other leading companies.
The country's main industries are expanding from tourism and freight to diverse manufacturing including pharmaceuticals, electronics, rubber, plastics, packaging, security systems, marine products and biomedical equipment.
The centre is opposite a new state-of-the-art hospital, also a major interchange for the public transport network.
Swatar borders on the university town of Msida and the centre's location near Birkirkara bypass makes it convenient for Malta International Airport and the capital city Valletta.
There is a public garden, named Swatar Garden, which is situated at Balliju Guttenberg Street. The garden is equipped with European standard facilities such as; a 5-a-side football ground, energy efficient lightning and safety and security measures
This instructor-led, live training in (online or onsite) is aimed at data scientists who wish to use Apache MXNet's to build and deploy a deep learning model for image recognition.
By the end of this training, participants will be able to:
Install and configure Apache MXNet and its components.
Understand MXNet's architecture and data structures.
Use Apache MXNet's low-level and high-level APIs to efficiently build neural networks.
Build a convolutional neural network for image classification.
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