Mastering Deep Learning with Neural Networks
Deep learning utilizing neural networks is the mechanism that allows Facebook to recognize faces in photos and Skype to do real-time speech translation. Software developers who wish to remain on the cutting edge need to understand what neural networks are, how they work, how to build them, and how to operationalize them. In this landmark series, Ph.D. data scientist Mark Tabladillo covers the theory of neural networks as well as their implementation using popular libraries such as TensorFlow and CNTK.
| Course Title | Author | Duration | Topic(s) |
|---|---|---|---|
| Introduction to Deep Learning | Mark Tabladillo | 01:11:16 | Neural Networks, Deep Learning |
| Building Neural Networks with TensorFlow | Mark Tabladillo | 00:57:50 | TensorFlow, Neural Networks, Deep Learning |
| Building Neural Networks with MXNet | Mark Tabladillo | 01:12:14 | Neural Networks, MXNet, Deep Learning |
| Building Neural Networks with CNTK Using a Data Science Virtual Machine | Mark Tabladillo | 01:11:51 | Cognitive Toolkit, Neural Networks, Deep Learning, CNTK |
| Building Neural Networks with CNTK Using Apache Spark and Azure HDInsight | Mark Tabladillo | 00:41:56 | Cognitive Toolkit, Neural Networks, Deep Learning, CNTK |
| Introduction to Keras | Mark Tabladillo | 01:01:22 | Neural Networks, Deep Learning, Keras |