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CMDBID: 107282 | Course Code: TP2860 | Duration: 2 Days
Overview >

This course will provide you with a blueprint for how to build an application that generates predictions using a deep learning model. From there, you can continue to improve our example model—either by adding more data, computing more features, or changing its architecture—continuously increasing its prediction accuracy, or create a completely new model, changing the core components of the application as you see fit.

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Location
Start Date
Price
LVC, United States
8th Oct 2020
$1575
LVC, United States
8th Oct 2020
$1575
LVC, Germany
8th Oct 2020
€1600
LVC, France
8th Oct 2020
€1600
LVC, Italy
8th Oct 2020
€1600
LVC, Spain
8th Oct 2020
€1600
LVC, Australia
8th Oct 2020
$2600
LVC, Australia
8th Oct 2020
$2600
LVC, United States
8th Oct 2020
$1575
LVC, United Kingdom
8th Oct 2020
£1500
LVC, New Zealand
8th Oct 2020
$2600
LVC, Australia
8th Oct 2020
$2600
LVC, New Zealand
8th Oct 2020
$2600
Washington, United States
19th Oct 2020
$1950
LVC, Italy
9th Nov 2020
€1600
LVC, Germany
9th Nov 2020
€1600
LVC, France
9th Nov 2020
€1600
Wellington, New Zealand
9th Nov 2020
$2600
Auckland, New Zealand
9th Nov 2020
$2600
San Francisco, United States
9th Nov 2020
$1575
Canberra, Australia
9th Nov 2020
$2600
LVC, Australia
9th Nov 2020
$2600
LVC, New Zealand
9th Nov 2020
$2600
LVC, New Zealand
9th Nov 2020
$2600
LVC, United States
9th Nov 2020
$1575

Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes