Course modules

Introduction

Introduction
Module completed Module in progress Module locked
Introduction 114101  
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    Lecture: Welcome to the course Lecture: Welcome to the course
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  • Assignment
    Exercise: Introduction to Jupyter Notebooks Exercise: Introduction to Jupyter Notebooks
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

Introduction to ANN architectures/ffANN

Introduction to ANN architectures/ffANN
Module completed Module in progress Module locked
Introduction to ANN architectures/ffANN 114102  
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    Lecture: Introduction to (ff)ANN architecture 1 Lecture: Introduction to (ff)ANN architecture 1
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
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    Lecture: Introduction to (ff)ANN architecture 2 Lecture: Introduction to (ff)ANN architecture 2
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  • Assignment
    Optional exercise: Back-propagation -- for those that really wants to know the underlying math Optional exercise: Back-propagation -- for those that really wants to know the underlying math
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    Lecture: Introduction to Keras and Tensorflow, part 1 Lecture: Introduction to Keras and Tensorflow, part 1
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete
  • Assignment
    Exercise: Building NNs with Keras Exercise: Building NNs with Keras
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    Lecture: Introduction to Keras and Tensorflow, part 2 Lecture: Introduction to Keras and Tensorflow, part 2
    Score at least   Must score at least   to complete this module item Scored at least   Module item has been completed by scoring at least   View Must view in order to complete this module item Viewed Module item has been viewed and is complete Mark completed Must mark this module item done in order to complete Marked completed Module item marked as done and is complete Contribute Must contribute to this module item to complete it Contributed Contributed to this module item and is complete Submit Must submit this module item to complete it Submitted Module item submitted and is complete

CNN, Convolutional Neural Networks

CNN, Convolutional Neural Networks
Module completed Module in progress Module locked
CNN, Convolutional Neural Networks 114103  
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    Lecture: CNN 1 - Classification Lecture: CNN 1 - Classification
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  • Assignment
    Exercise: CNN classification with Keras Exercise: CNN classification with Keras
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    Lecture: CNN 2 - Segmentation Lecture: CNN 2 - Segmentation
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  • Assignment
    Exercise: CNN segmentation with Keras Exercise: CNN segmentation with Keras
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RNN, Recurrent Neural Network

RNN, Recurrent Neural Network
Module completed Module in progress Module locked
RNN, Recurrent Neural Network 114104  
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    Lecture: RNNs Lecture: RNNs
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    rnnutils.py rnnutils.py
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    Exercise 1: airplane passengers Exercise 1: airplane passengers
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    Exercise 2: character prediction on alphabet Exercise 2: character prediction on alphabet
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Autoencoders

Autoencoders
Module completed Module in progress Module locked
Autoencoders 114105  
  • Assignment
    Exercise: Autoencoders Exercise: Autoencoders
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    Unsupervised Learning and Neural Networks, Autoencoders Unsupervised Learning and Neural Networks, Autoencoders
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Best Practices

Best Practices
Module completed Module in progress Module locked
Best Practices 114106  
  • Page
    Lecture: Good practices of NN/DL project design Lecture: Good practices of NN/DL project design
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  • Assignment
    Exercise 1: Target leakage Exercise 1: Target leakage
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  • Assignment
    Exercise 2: Rigorous splitting of train/test/validation sets Exercise 2: Rigorous splitting of train/test/validation sets
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minimum score must view must submit must contribute