Princess House, Princess Way, Swansea, united kingdom, SA1 3LW
Swansea
The Princess House Centre is located in the heart of Swansea with panoramic views over the city, Swansea Bay and the Gower area of outstanding natural beauty. These offices are in a prime location and have recently undergone a major refurbishment. Swansea is an inspiring place to do business in a superb natural environment. It is Wales' second largest city and the regional shopping, leisure, cultural, education and administrative centre for south west Wales. In recent years, it has experienced dramatic economic growth generated by a structured investment programme. This has transformed the city into a modern economy dominated by the service sector, which is estimated to employ about 86 per cent of the local workforce. Swansea is now home to a wide range of national and international companies in the financial, telecommunications and technology industries and is fast building a reputation as a city of innovation with a significant knowledge-based economy.
Explore Our Courses
Applied AI from Scratch
28 HoursDeep Learning for Vision
21 HoursDeep Learning with TensorFlow 2
21 HoursTensorFlow Serving
7 HoursDeep Learning with TensorFlow
21 HoursTensorFlow for Image Recognition
28 HoursTensorFlow Extended (TFX)
21 HoursUnderstanding Deep Neural Networks
35 HoursLast Updated:
Testimonials (4)
The trainer explained the content well and was engaging throughout. He stopped to ask questions and let us come to our own solutions in some practical sessions. He also tailored the course well for our needs.
Robert Baker
Course - Deep Learning with TensorFlow 2.0
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Course - TensorFlow Extended (TFX)
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
Course - Natural Language Processing with TensorFlow
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
Course - TensorFlow for Image Recognition
Provisional Upcoming Courses (Contact Us For More Information)
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