Deep Learning Design Patterns Primer Part 1 Workshop

Deep Learning Design Patterns Primer - Part 1 - Workshop

The accompanying

Deep Learning Design Patterns Primer - Part 1 - Introduction to Neural Networks

An introduction to Tensorflow+Keras API for coding

Deep Learning Design Patterns Primer - Part 2 - Workshop

This video is an explanation for doing the accompanying

Deep Learning Design Patterns Primer - Part 3 - Training Foundation

An introduction to training a

Deep Learning Design Patterns Primer - Part 2 - Introduction to Convolutional Neural Networks

An introduction to Tensorflow+Keras API for coding convolutional

Deep Learning Design Patterns Primer - Part 4 - Data Engineering

An introduction to data engineering for insertion into a training pipeline with TF.Keras, PIL and openCV. Learn the basics of data ...

Deep Learning Design Patterns - Jr Data Scientist - Part 1 - Model Design Patterns

An introduction to designing and coding models using a procedural reuse

Deep Learning Design Patterns with Andrew Ferlitsch

Andrew Ferlitsch, engineer in the Google Developer program and author of

Deep Learning Design Patterns Study Jams - Overview

... Link to slides - https://bit.ly/dldp-study-jams-

Deep Learning Design Patterns

Check out Andrew Ferlitsch's book

Machine Learning Design Patterns 1

Speaker: Michael Munn, ML Solutions Engineer at Google Abstract:

10 Design Patterns Explained in 10 Minutes

Software

Deep Learning Design Patterns - Jr. Data Scientist - Part 9 - Data Pipelines #1

An introduction to data formats and data feeding for image data. Learn basics of storage formats and access methods for: raw, ...

Machine Learning Design Patterns | Michael Munn, Google

Design patterns

Deep Learning Design Patterns - Jr Data Scientist - Part 8 - Data Distributions

An introduction to data distributions with a dataset and how it effects training and generalizing to production. Learn basics of ...

Deep Learning Design Patterns - Jr Data Scientist - Part 2 - Wide Convolutional Networks

An introduction to designing and coding wide convolutional