Machine Learning Practical (MLP) Lectures 2020-21

Machine Learning Practical (MLP) Lectures 2020-21

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The Machine Learning Practical (MLP) course for 2020-21 is concerned with deep neural networks. Doing this course involves the following:

Implementing deep learning systems using python;
Training and evaluating on data sets for tasks such as handwriting recognition;
Designing and running machine learning experiments to investigate research questions;
Reporting on your experiments, discussing and interpreting the results.

During semester 1 we shall investigate neural network learning with a focus on the classification of handwritten digits using the well-known MNIST dataset. Using a Python software framework that we shall provide, and a series of Jupyter notebooks, the course will explore multi-layer neural network classifiers, convolutional network classifiers, and recurrent networks. The lectures in semester 1 will provide the required theoretical support for the practical work.

Semester 2 will be based around group projects, typically using TensorFlow, PyTorch, or another deep learning toolkit. The lectures in semester 2 will cover more advanced material in deep learning.

Playlists:

Single-Layer Deep NNs Deep NNs CNNs RNNs

Lecture 01 Lecture 03 Lecture 05 Lecture 07 Lecture 09

Lecture 02 Lecture 04 Lecture 06 Lecture 08 Lecture 10

Q&A 1 Q&A 2 Q&A 3 Q&A 4 Q&A 5

Advanced NN Tutorials [Relational Networks, GANs, HyperNetworks, Attention, Transformers, Meta-Learning]

Google Cloud tutorial

MLP Interviews - Winter 2020 [Jinhong Lu, Leonie Bossmeyer, Maximiliana Behnke, Maysara Hammouda]

Guest Lectures:

Week 2 - Antreas Antoniou (UoE) - MLP Cluster

Week 3 - Ben Allison (Amazon) - Building Production Machine Learning Systems

Week 4 - Sofia Vallecorsa (CERN) - Generating models for High Energy Physics

Week 5 - Oisin Mac Aodha (UoE) - ML for Computer Vision

Week 6 - Mirella Lapata (UoE) - ML for Machine translation

Week 7 - Siddharth Narayanaswamy (UoE) - Explainability in ML

Week 8 - Sanjay Rakshit (Transwap) - Framework for Implementing an ML Project: from Concept to Production

Week 9 - Daniel Angelov and Svetlin Penkov (Efemarai) - Visualising and Testing Deep Learning Computations

Week 10 - Puneet Dokania (Five AI) - Continual Learning

…Read more Less…

machine learning

MLP Lecture 08 - Clip 05 - Short CNN timeline 1 of 15

duration 12 minutes 20 seconds

MLP Lecture 08 - Clip 05 - Short CNN timeline

MLP Lecture 08 - Clip 05 - Short CNN timeline

MLP Lecture 08 - Clip 05 - Short CNN timeline

MLP Lecture 08 - Clip 05 - Short CNN timeline

Machine Learning Practical (MLP) Lecture 08, Clip 05 / 05.

From Pavlos Andreadis

1 likes 189 plays 0
MLP Guest Lecture 01 - Session 1 (Week 2) - MLP… 2 of 15

duration 24 minutes 48 seconds

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP…

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 04/04

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP…

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 04/04

Machine Learning Practical Semester 2 Guest Lecture 01 - Session 1 (Week 2) - Clip 04/04 (reenactment).

From Pavlos Andreadis

1 likes 178 plays 0
MLP Guest Lecture 01 - Session 1 (Week 2) - MLP… 3 of 15

duration 2 minutes 19 seconds

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP…

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 03/04

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP…

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 03/04

Machine Learning Practical Semester 2 Guest Lecture 01 - Session 1 (Week 2) - Clip 03/04.

From Pavlos Andreadis

1 likes 100 plays 0
MLP Guest Lecture 01 - Session 1 (Week 2) - MLP… 4 of 15

duration 28 minutes 29 seconds

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP…

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 02/04

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP…

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 02/04

Machine Learning Practical Semester 2 Guest Lecture 01 - Session 1 (Week 2) - Clip 02/04.

From Pavlos Andreadis

1 likes 173 plays 0
MLP Guest Lecture 01 - Session 1 (Week 2) - MLP… 5 of 15

duration 4 minutes 26 seconds

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP…

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 01/04

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP…

MLP Guest Lecture 01 - Session 1 (Week 2) - MLP Cluster - Clip 01/04

Machine Learning Practical Semester 2 Guest Lecture 01 - Session 1 (Week 2) - Clip 01/04.

From Pavlos Andreadis

1 likes 152 plays 0
MLP Advanced NN Tutorial 06 - Meta-Learning 6 of 15

duration 42 minutes 45 seconds

MLP Advanced NN Tutorial 06 - Meta-Learning

MLP Advanced NN Tutorial 06 - Meta-Learning

MLP Advanced NN Tutorial 06 - Meta-Learning

MLP Advanced NN Tutorial 06 - Meta-Learning

Machine Learning Practical advanced tutorial (optional) - Session 6 (Week 12).

From Pavlos Andreadis

1 likes 44 plays 0
MLP Interviews - Maysara Hammouda 7 of 15

duration 1 hour 2 minutes

MLP Interviews - Maysara Hammouda

MLP Interviews - Maysara Hammouda

MLP Interviews - Maysara Hammouda

MLP Interviews - Maysara Hammouda

Machine Learning Practical interviews - Winter 2020 - Session 4/4. Maysara Hammouda is an MSc graduate in Artificial Intelligence at the University of Edinburgh, and is…

From Pavlos Andreadis

1 likes 109 plays 0
MLP Interviews - Maximiliana Behnke 8 of 15

duration 54 minutes 0 seconds

MLP Interviews - Maximiliana Behnke

MLP Interviews - Maximiliana Behnke

MLP Interviews - Maximiliana Behnke

MLP Interviews - Maximiliana Behnke

Machine Learning Practical interviews - Winter 2020 - Session 3/4. Maximiliana Behnke is a PhD student at the Univeristy of Edinburgh focussing on "Natural Language…

From Pavlos Andreadis

1 likes 39 plays 0
MLP Interviews - Leonie Bossemeyer 9 of 15

duration 57 minutes 46 seconds

MLP Interviews - Leonie Bossemeyer

MLP Interviews - Leonie Bossemeyer

MLP Interviews - Leonie Bossemeyer

MLP Interviews - Leonie Bossemeyer

Machine Learning Practical interviews - Winter 2020 - Session 2/4. Leonie Bossmeyer is an MSc graduate in Data Science at the University of Edinburgh, and is currently…

From Pavlos Andreadis

1 likes 93 plays 0
MLP Interviews - Jinhong Lu 10 of 15

duration 50 minutes 35 seconds

MLP Interviews - Jinhong Lu

MLP Interviews - Jinhong Lu

MLP Interviews - Jinhong Lu

MLP Interviews - Jinhong Lu

Machine Learning Practical interviews - Winter 2020 - Session 1/4. Jinhong Lu is a PhD student at the University of Edinburgh focussing on "head motion…

From Pavlos Andreadis

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MLP Advanced NN Tutorial 05 - Transformers;… 11 of 15

duration 1 hour 37 minutes

MLP Advanced NN Tutorial 05 - Transformers;…

MLP Advanced NN Tutorial 05 - Transformers; Meta-Learning

MLP Advanced NN Tutorial 05 - Transformers;…

MLP Advanced NN Tutorial 05 - Transformers; Meta-Learning

Machine Learning Practical advanced tutorial (optional) - Session 5 (Week 11).

From Pavlos Andreadis

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Google Cloud tutorial Part 1/2 12 of 15

duration 33 minutes 37 seconds

Google Cloud tutorial Part 1/2

Google Cloud tutorial Part 1/2

Google Cloud tutorial Part 1/2

Google Cloud tutorial Part 1/2

Google Cloud setup, account management, errors, and usage. Clip 01 / 02.

From Pavlos Andreadis

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MLP Q&A 2 - Session 5 (Week 11) 13 of 15

duration 51 minutes 21 seconds

MLP Q&A 2 - Session 5 (Week 11)

MLP Q&A 2 - Session 5 (Week 11)

MLP Q&A 2 - Session 5 (Week 11)

MLP Q&A 2 - Session 5 (Week 11)

Machine Learning Practical Q&A 2 - Session 5 (Week 11).

From Pavlos Andreadis

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MLP Q&A 1 - Session 5 (Week 11) 14 of 15

duration 31 minutes 54 seconds

MLP Q&A 1 - Session 5 (Week 11)

MLP Q&A 1 - Session 5 (Week 11)

MLP Q&A 1 - Session 5 (Week 11)

MLP Q&A 1 - Session 5 (Week 11)

Machine Learning Practical Q&A 1 - Session 5 (Week 11).

From Pavlos Andreadis

1 likes 9 plays 0
MLP Advanced NN Tutorial 04 - Transformers 15 of 15

duration 1 hour 41 minutes

MLP Advanced NN Tutorial 04 - Transformers

MLP Advanced NN Tutorial 04 - Transformers

MLP Advanced NN Tutorial 04 - Transformers

MLP Advanced NN Tutorial 04 - Transformers

Machine Learning Practical advanced tutorial (optional) - Session 4 (Week 10).

From Pavlos Andreadis

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