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PERIMETER INSTITUTE RECORDED SEMINAR ARCHIVE

PIRSA:C19011 - PSI 2018/2019 - Machine Learning (Hayward Sierens)PODCAST Subscribe to podcast

PSI 2018/2019 - Machine Learning (Hayward Sierens)

Organizer(s): Lauren Hayward  

Collection URL: http://pirsa.org/C19011


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PIRSA:19030053  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 1
Speaker(s): Lauren Hayward
Abstract:

Motivation; goals of machine learning and many-body physics; definitions of supervised, unsupervised and reinforcement learning

Date: 25/03/2019 - 9:00 am

PIRSA:19030054  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 2
Speaker(s): Lauren Hayward
Abstract:

Supervised learning with feedforward neural networks: weights and biases, activation functions, cost functions, gradient descent

Date: 26/03/2019 - 9:00 am

PIRSA:19030055  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 3
Speaker(s): Lauren Hayward
Abstract:

Alternatives to gradient descent, backpropagation, recognizing overfitting

Date: 27/03/2019 - 9:00 am

PIRSA:19030056  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 4
Speaker(s): Lauren Hayward
Abstract:

Training, validation and testing datasets; methods that prevent overfitting; using supervised neural networks to classify phases of matter (classical Ising model, classical Ising gauge theory)

Date: 28/03/2019 - 9:00 am

PIRSA:19030057  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 5
Speaker(s): Lauren Hayward
Abstract:

Monte Carlo sampling; summary of hyperparameters in feedforward neural networks

Date: 29/03/2019 - 9:00 am

PIRSA:19040001  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 6
Speaker(s): Lauren Hayward
Abstract:

Convolutional neural networks: local receptive fields, shared weights and biases, pooling

Date: 01/04/2019 - 9:00 am

PIRSA:19040002  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 7
Speaker(s): Lauren Hayward
Abstract:

Introduction to unsupervised learning; dimensional reduction using principal component analysis

Date: 02/04/2019 - 9:00 am

PIRSA:19040003  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 8
Speaker(s): Lauren Hayward
Abstract:

Dimensional reduction using t-distributed stochastic neighbour embedding (t-SNE); Kullback-Liebler (KL) divergence; maximum likelihood estimation

Date: 03/04/2019 - 10:15 am

PIRSA:19040004  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 9
Speaker(s): Bohdan Kulchytskyy
Abstract:

Reinforcement learning: Markov decision processes, policy gradient methods

Date: 04/04/2019 - 9:00 am

PIRSA:19040005  ( MP4 Medium Res , MP3 , PDF ) Which Format?
PSI 2018/2019 - Machine Learning - Lecture 10
Speaker(s): Bohdan Kulchytskyy
Abstract:

Reinforcement learning: Q-learning, Bellman equations

Date: 05/04/2019 - 9:00 am

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