Deep learning is the science of developing statistical methods that quantify relationships within data. This branch of mathematics/computer science has seen an explosive growth over the past decade as our ability to store and process digital data has dramatically increased. Prediction, classification, regression, and identification are the aims of learning from data. All of these problems are routinely performed in data analytics. Topics covered include (1)  an overview of the literature in learning-based methods and applications (2) understanding a variety of machine learning techniques for classification, regression, and prediction.  (3) obtain the ability to implement and experiment with a wide range of deep learning algorithms in Python with examples


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UH Alumni Registration Fee: $250.00


Non-UH Affiliate Registration Fee: $250.00

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** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement.

(2) inform HPE DSI of their interest in taking the course at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class meeting.


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** The following refund schedule applies:
If requesting cancellation in more than three weeks before start date, a cancellation fee of 10% of the total course or workshop cost applies.

If requesting cancellation in  less than three weeks before the start date, a 15% cancellation fee applies.
If requesting cancellation in less than one week before start date, a 25% cancellation fee applies.
If requesting cancellation in  48 hours or less before class start, No refund is available.

All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a course/workshop, you will receive a full refund.

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Introduction to Deep Learning

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Tags: Introduction to Deep Learning, HPEDSI