Course Outline

Introduction

  • Apache MXNet vs PyTorch

Deep Learning Principles and the Deep Learning Ecosystem

  • Tensors, Multi-layer Perceptron, Convolutional Neural Networks, and Recurrent Neural Networks
  • Computer Vision vs Natural Language Processing

Overview of Apache MXNet Features and Architecture

  • Apache MXNet Compenents
  • Gluon API interface
  • Overview of GPUs and model parallelism
  • Symbolic and imperative programming

Setup

  • Choosing a Deployment Environment (On-Premise, Public Cloud, etc.)
  • Installing Apache MXNet

Working with Data

  • Reading in Data
  • Validating Data
  • Manipulating Data

Developing a Deep Learning Model

  • Creating a Model
  • Training a Model
  • Optimizing the Model

Deploying the Model

  • Predicting with a Pre-trained Model
  • Integrating the Model into an Application

MXNet Security Best Practices

Troubleshooting

Summary and Conclusion

Requirements

  • An understanding of machine learning principles
  • Python programming experience

Audience

  • Data scientists
 21 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £5700 online delivery, based on a group of 2 delegates, £1800 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

Contact us for an exact quote and to hear our latest promotions


Public Training

Please see our public courses

Provisonal Upcoming Courses (Contact Us For More Information)

Related Categories