Overview:
Deep Learning for NLP allows a machine to learn simple to complex language processing. Among the tasks currently possible are language translation and caption generation for photos. DL (Deep Learning) is a subset of ML (Machine Learning). Python is a popular programming language that contains libraries for Deep Learning for NLP.
In this training, participants will learn to use Python libraries for NLP (Natural Language Processing) as they create an application that processes a set of pictures and generates captions.
Audience:
Programmers with interest in linguistics
Programmers who seek an understanding of NLP (Natural Language Processing)
Pre-Requisite:
An understanding of Python programming
An understanding of Python libraries in general
Course Curriculum
| Course Outline | |||
| Introduction to Deep Learning for NLP Details | 00:00:00 | ||
| Differentiating between the various types of DL models Details | 00:00:00 | ||
| Using pre-trained vs trained models Details | 00:00:00 | ||
| Using word embeddings and sentiment analysis to extract meaning from text Details | 00:00:00 | ||
| How Unsupervised Deep Learning works Details | 00:00:00 | ||
| Installing and Setting Up Python Deep Learning libraries Details | 00:00:00 | ||
| Using the Keras DL library on top of TensorFlow to allow Python to create captions Details | 00:00:00 | ||
| Working with Theano (numerical computation library) and TensorFlow (general and linguistics library) to use as extended DL libraries for the purpose of creating captions. Details | 00:00:00 | ||
| Using Keras on top of TensorFlow or Theano to quickly experiment on Deep Learning Details | 00:00:00 | ||
| Creating a simple Deep Learning application in TensorFlow to add captions to a collection of pictures Details | 00:00:00 | ||
| Troubleshooting Details | 00:00:00 | ||
| A word on other (specialized) DL frameworks Details | 00:00:00 | ||
| Deploying your DL application Details | 00:00:00 | ||
| Using GPUs to accelerate DL Details | 00:00:00 | ||
| Closing remarks Details | 00:00:00 | ||
Course Reviews
No Reviews found for this course.