Robert Schroll (The Data Incubator), Michael Li (The Data Incubator), Dana Mastropole (The Data Incubator)
Robert Schroll, Michael Li, and Dana Mastropole demonstrate TensorFlow's deep learning capabilities through its Python interface as they walk you through building machine-learning algorithms piece by piece and implementing neural networks using TFLearn. Along the way, you'll explore several real-world deep learning applications, including machine vision, text processing, and generative networks.
NVIDIA Deep Learning Institute bootcamp
Charles Killam (NVIDIA)
In this two-day workshop blending lecture and hands-on, real-world exercises, NVIDIA Deep Learning Institute-certified instructor Charlie Killam walks you through solving the most challenging problems with deep learning. You'll start with deep learning basic concepts and quickly move to talking on real-word problems using deep learning.
Deep Learning, Natural Language
Natural language processing with deep learning
Delip Rao (Joostware)
Delip Rao explores natural language processing using a set of machine-learning techniques known as deep learning. Delip walks you through neural network architectures and NLP tasks and teaches you how to apply these architectures for those tasks.
Deep Learning, Health care, IoT and its applications
Neural networks for time series analysis using Deeplearning4J
Josh Patterson (Skymind), Susan Eraly (Skymind), Tom Hanlon (Skymind)
Recurrent neural networks have proven to be very effective at analyzing time series or sequential data, so how can you apply these benefits to your use case? Josh Patterson and Susan Eraly demonstrate how to use Deeplearning4J to build recurrent neural networks for time series data.