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GET STARTED
FUNDAMENTALS
RESOURCES
DOCUMENTATION
Home
GET STARTED
FUNDAMENTALS
RESOURCES
DOCUMENTATION
Get started with TensorFlow in 3 easy steps
1. Sign up for Databricks
2. Enable TensorFlow
QUICK START
3. Use our Tutorial
MNIST EXAMPLE
Content Type
All
Blog
Example Notebooks
Training
Tutorials
Videos
Webinar
Blog
Introducing HorovodRunner for Distributed Deep Learning Training
Introducing Databricks Runtime 5.0 for Machine Learning
Applying your Convolutional Neural Network: On-Demand Webinar and FAQ Now Available!
Training your Neural Network: On-Demand Webinar and FAQ Now Available!
Introduction to Neural Networks: On-Demand Webinar and FAQ Now Available!
Announcing Databricks Runtime for Machine Learning
Scalable End-to-End Deep Learning using TensorFlow™ and Databricks: On-Demand Webinar and FAQ Now Available!
Deep Learning with Apache Spark and TensorFlow
A Vision for Making Deep Learning Simple
Example Notebooks
MNIST demo using Keras CNN
MNIST demo using Keras CNN (Part 2)
MNIST demo using Keras CNN (Part 3)
MLflow PyTorch Notebook
MNIST Experiments with Keras, HorovodRunner, and MLflow
MNIST with Keras, HorovodRunner, and MLflow
Training
Intro to Deep Learning Theory and Practice with Keras and TensorFlow
Tutorials
Identify Suspicious Behavior in Video
Videos
Databricks Runtime for ML: Simplify Distributed Deep Learning with HorovodRunner
TensorFrames: Deep Learning with TensorFlow on Apache Spark
Deep Learning and Streaming in Apache Spark 2.x
A Tale of Three Deep Learning Frameworks: TensorFlow, Keras, & PyTorch
Webinar
Project Hydrogen: State Of The Art Deep Learning On Apache Spark™
Deep Learning Fundamentals – Part 3: Applying your Convolutional Neural Network
Deep Learning Fundamentals – Part 2: Training your Neural Network
Deep Learning Fundamentals – Part 1: Introduction to Neural Networks
Scalable End-to-End Deep Learning using TensorFlow™ and Databricks
Build, Scale, and Deploy Deep Learning Pipelines with Ease
Deep Learning on Apache® Spark™: Workflows and Best Practices