SpringerNLP / Chapter4

Chapter 4: Basics of Deep Learning

Chapter 4 - Basics of Deep Learning Case Study

This case study explores the basics of deep learning. In the first portion of the case study, training of a neural network is performed with a numpy implementation, then we explore supervised and unsupervised techniques on a spoken digit recognition task.

Requirements

Without GPU (CPU only):

• Docker

If using a GPU:

• Nvidia docker2

Running the Docker Image

The docker images for this case study are located on dockerhub. Running the commands below will automatically download and start a jupyter notebook.

Run the Docker image for CPU only computation:

docker run -p 8888:8888 --rm springernlp/chapter_4:latest

Run the Docker image with GPU access:

docker run --runtime=nvidia -p 8888:8888 --rm springernlp/chapter_4:latest

Building the Docker image

docker build -t chapter_4:latest .

Book Reference

More information can be found at: Deep Learning for NLP and Speech Recognition by Springer