EncartaLabs

Deep Learning with Fast.ai

( Duration: 3 Days )

Fast.ai is a high level programming framework for deep learning. It provides a simplified programming interface wrapper over Pytorch. In Deep Learning with Fast.ai training course you will learn how to use Fast.ai for deep learning to solve different practical problems.

By attending Deep Learning with Fast.ai workshop, delegates will learn:

  • Deep Neural Network (DNN) and Convolutional Neural Network (CNN)
  • Image Recognition and Classification with Fast.ai
  • Tuning hyper-parameters to improve DNN and CNN
  • Fast.ai for structured/tabular data, e.g. time-series sales data
  • Recurrent Neural Network (RNN)

  • Basic Python
  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers and Developers

COURSE AGENDA

1

Introduction to Fast.ai

  • What is Fast.ai
  • Why and Why Not Fast.ai
  • Setup Google Golab
  • Install Fast.ai
  • Basic Fast.ai Codes
2

Computer Vision

  • Vision Module
  • Fast.ai Approach to COmputer Vision
  • Image Classification for Pet Breeds
  • Transfer Learning
  • Rate Tuning
  • Image Classification for Cats and Dogs
  • Confusion Matrix
  • Data Augmentation
3

Natural Language Processing

  • Text Module
  • Fast.ai Approach to NLP
  • Text Classification for Sentiment Analysis
  • Language Model
  • Fine Tune Text Classifier
  • Improve Language Model
4

Recap Fundamental Concepts (Optional)

  • Neural Network
  • Convolutional Neural Network
  • Transfer Learning
  • Recurrent Neural Network

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 4,000 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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