€497.29

2 Day Deep Learning Workshop with PyTorch

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Kenicroom

Linienstraße 130

10115 Berlin

Germany

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Refund Policy

Refund Policy

Refunds up to 7 days before event

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Description

Introduction

This hands-on course will take you from the start to the basics of Deep Learning using PyTorch. Our aim is to teach the fundamentals of deep learning from Convolutional Neural Networks (CNNs) to Recurrent Neural Networks (RNNs), highlighting modern methodlogies and techniques using the PyTorch API.

By the end of the workshop participants should be able to train/validate and compare a range of image recognition and text analysis models using state of the art methods in deep learning.

Day 1: Fundamentals

  • Machine Learning basics

  • Bias-Variance Trade-off

  • Cross validation

  • Training, validation and test sets

  • Image classification problem

  • Loss function

  • Regularization

  • Optimization

  • Backpropagation

Day 2: Advanced

  • Convolutional networks

  • Network architecture

  • Data preprocessing

  • Weight initialization

  • Advanced optimization

  • Learning rates

  • Transfer learning

  • Recurrent neural networks

  • Use-cases and applications

Prerequisites

We assume the attendees are familar with:

  • Python in particular:
    • numpy: broadcast rules and indexing
    • scipy: general API
    • pandas: indexing
    • scikit-learn: API familiarity
  • Basic maths:
    • linear algebra
    • calculus
    • statistics

Adminstration

Kindly bring a laptop with you and we will provide access to a GPU instance for the hands-on parts of the workshop.

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Date and Time

Location

Kenicroom

Linienstraße 130

10115 Berlin

Germany

View Map

Refund Policy

Refunds up to 7 days before event

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