Lesson 3/6: Machine learning in TensorFlow

Apr 18, 2018 · Toronto, Canada

You will learn:
• How to create a basic machine learning model in Tensorflow
• How to train your model on real data
• How to create a neural network in Tensorflow
• Where to learn more about Tensorflow

If you weren't in attendance for the first session, please follow the instructions in this document to set up your environment before arriving: https://docs.google.com/document/d/1ayIjeM0SUA3BuF2CTOhcsyVgL9MP13NVHkPlrw7_MSQ/edit

Please be on time and bring your laptop. Food and drinks will be served.

Complete Syllabus
Lesson 1: Apache Spark, PySpark, and Zeppelin Intro
Lesson 2: Introduction to TensorFlow
Lesson 3: Machine Learning in TensorFlow
Lesson 4: Deployment of Kubernetes
Lesson 5: TensorFlow and Kubernets in the Cloud
Lesson 6: Putting it all Together

Thanks to our friends at Mozilla for hosting!

Event organizers
  • Production Level Deep Learning: DeepLearni.ng's Meetup Lab

    Looking for a pragmatic understanding of machine learning? Neural networks? Deep learning? DeepLearni.ng brings you the Production Level Deep Learning Meetup. This is not about research or academics, it's instead about getting your models into production. This is how we do things at DeepLearni.ng--we want to develop ML for the real world.  At the Meetup, learn from Spark and ML experts that dig deep into the internals of Spark Core, Spark SQL, DataFrames, Spark Streaming, MLlib, Graph X, BlinkDB, TensorFlo

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