Applied Deep Learning with PyTorch

Nivå: Intermediate

Starting with the basics of deep learning and their various applications, Applied Deep Learning with PyTorch shows you how to solve trending tasks, such as image classification and natural language processing by understanding the different architectures of the neural networks.

Nyckelfunktioner:

  • After-course instructor coaching benefit
  • After-course computing sandbox included
  • Learning Tree end-of-course exam included

Du kommer lära dig att:

  • Detect a variety of data problems to which you can apply deep learning solutions
  • Learn the PyTorch syntax and build a single-layer neural network with it
  • Build a deep neural network to solve a classification problem
  • Develop a style transfer model
  • Implement data augmentation and retrain your model
  • Build a system for text processing using a recurrent neural network

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LIVE, LÄRARLEDD

I klass & Live, Online-utbildning

  • 2-day instructor led training course
  • One-on-one after-course instructor coaching
  • Pay later by invoice -OR- at the time of checkout by credit card

FÖRETAGSINTERN UTBILDNING

Teamträning

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  • Fullskalig programutveckling
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  • Coaching av ett expertteam

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Learning Tree erbjuder kundanpassad utbildning hos er, öppna kurser i Stockholm, London eller Washington, möjlighet att delta via våra Anywhere centers (Malmö, Göteborg, Linköping, Stockholm eller Borlänge) eller olika former av e-learning med lärarstöd. Läs mer på www.learningtree.se/priser .

I klass & Live, Online-utbildning

Note: This course runs for 2 dagar *

*Events with the Partial Day Event clock icon run longer than normal but provide the convenience of half-day sessions.

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  • 13 - 14 sep 9:00 - 4:30 EDT Ottawa / Online (AnyWare) Ottawa / Online (AnyWare) Boka Din Kursplats

Kurs med startgaranti

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Partial Day Event

Learning Tree offers a flexible schedule program. If you cannot attend full day sessions, this option consists of four-hour sessions per day instead of the full-day session.

Important Applied Deep Learning with PyTorch Course Information

  • Requirements

    Some working knowledge of Python and familiarity with the basics of machine learning are a must. However, knowledge of NumPy and pandas will be beneficial, but not essential.

  • Who Should Attend This Course

    Applied Deep Learning with PyTorch is designed for data scientists, data analysts, and developers who want to work with data using deep learning techniques. Anyone looking to explore and implement advanced algorithms with PyTorch will also find this course useful.

Applied Deep Learning with PyTorch Course Outline

  • Lesson 1: Introduction to Deep Learning and PyTorch

    • Understanding Deep Learning
    • PyTorch Introduction
  • Lesson 2: Building Blocks of Neural Networks

    • Introduction to Neural Networks
    • Data Preparation
    • Building a Neural Network
  • Lesson 3: A Classification Problem Using DNN

    • Problem Definition
    • Dealing with an Underfitted or Overfitted Model
    • Deploying Your Model
  • Lesson 4: Convolutional Neural Networks

    • Building a CNN
    • Data Augmentation
    • Batch Normalization
  • Lesson 5: Style Transfer

    • Style transfer
    • Implementation of Style Transfer Using the VGG-19 Network Architecture
  • Lesson 6: Analysing the Sequence of Data with RNNs

    • Recurrent Neural Networks
    • Long Short-Term Memory Networks (LSTMs)
    • LSTM Networks in PyTorch
    • Natural Language Processing (NLP)
    • Sentiment Analysis in PyTorch

Teamträning

Applied Deep Learning with PyTorch FAQs

  • Can I take this data science course online?

    Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.

Questions about which training is right for you?

call 08-506 668 00




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