Past Meetup

[Weekend Workshop] Practical Deep Learning and Its Applications

This Meetup is past

18 people went

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Tickets are through Zipfian Academy:

Special Discount for SF Data Science Meetup members: 15% off with code DEEP15.

Date and Time: September 13 & 14 from 9-4:30pm (2 full days)

Summary: Small-group deep learning training with curriculum built by the same instructors teaching the course. Access to workstations and data sets are included.

Level: Designed for Java programmers with some exposure to machine learning, but new to neural nets is okay

Cost: List Price: $1,195. Discount of 15% with code DEEP15.

About the Workshop:
Computer vision and image processing are some of the hardest problems in machine learning. Usually image categorization and object recognition involve a lot of pre processing and transformations before it’s possible to extract meaningful signal. Enter deep learning. Recent advancements in neural networks plus improved hardware makes neural nets tractable for many kinds of image processing tasks. This workshop will provide an overview of neural nets and deep learning (with special focus on representation learning), a debugging tutorial, and in-depth walkthroughs of three case studies (face recognition, OCR, and sentiment analysis).

In this hands-on workshop, you will:

• Understand neural networks, deep learning, and recent advances in the field

• Focus efforts on representation learning (also called feature learning)

• Learn best approaches for debugging neural nets

• Apply deep learning to face recognition, using the same data set Facebook used for DeepFace

• Apply deep learning to OCR on the MNist data set

• Analyze sentiment on 1,000,000 tweets with deep learning

You’ll leave this workshop with a solid understanding of how to utilize open-source deep learning to solve common problems faced in industry, including face recognition, OCR, and sentiment analysis.

To continue on in your training, we are also offering a distributed deep learning workshop in Scala through ByTheBay on September 24th.

Details about the distributed deep learning workshop can be found at:

About Adam Gibson:
Adam the co-founder of Skymind, a business intelligence and enterprise software firm, and of, a machine learning and NLP startup that helps public relations professionals to monitor coverage and avoid disasters. He is also the creator of Deeplearning4j, the first commercial-grade deep learning library written in Java. In addition, Adam is a machine learning instructor at Zipfian Academy. Adam’s background includes data mining at Mashape, running a web development consultancy, and Dev Ops engineering.


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