About
Of all the branches of Artificial Intelligence (AI), Deep Learning (DL) is one of the most exciting. Companies such as Google, Amazon, Microsoft, and Facebook have used Deep Learning for such groundbreaking applications as self-driving cars, face recognition, and many other perception and classification problems.
At Elephant Scale, we work as practitioners in AI using frameworks such as Tensorflow, Keras, Torch, Caffe, and BigDL. We also are contributors to the BigDL framework.
Deep Learning Courses
Deep Learning has a steep learning curve. Your developers and analysts need expert instruction to bring about understanding.
As Deep Learning practitioners ourselves, we know how to get developers productive in Deep Learning. It starts with understanding, with just enough linear algebra and applied stats to get it, without getting too bogged down in the math. We then cover how to make Deep Learning work for you.
We have a lot of practical experience on scaling Deep Learning to Big Data scales. We feel strongly that as Deep Learning requires large datasets for training, scalability is a huge factor, and often neglected in instruction.
Deep Learning With Tensorflow and Keras
Deep Learning With Spark and BigDL
Deep Learning Resources
See below for
- BigDL tutorials with code
- tutorials videos
- Conference talks
Code
BigDL Videos
BigDL Tutorial Video 1: Introduction to BigDL
BigDL Tutorial Video 2: Creating A Basic Neural Network
BigDL Tutorial Video 3: Transfer Learning for Image Classification With BigDL
BigDL Tutorial Video 4: Long Short Term Memory (LSTM) and Recurrent Neural Network (RNN) on BigDL
Our talks at Conferences / Meetups on Deep Learning
- aws re-invent video
- other meetups