Канал: Mohammed Bennamoun

VIDEO 8-2 Variational autoencoder and loss derivation 48mn

VIDEO 8-2 Variational autoencoder and loss derivation 48mn

VIDEO 8-1 Autoencoder 47mn

VIDEO 8-1 Autoencoder 47mn

VIDEO 8-3 Variational autoencoder details of loss and training 23mn

VIDEO 8-3 Variational autoencoder details of loss and training 23mn

VIDEO 7-9 CNN applications-detection and action recog 12mn

VIDEO 7-9 CNN applications-detection and action recog 12mn

VIDEO 7-8 CNN applications-classification 17mn

VIDEO 7-8 CNN applications-classification 17mn

VIDEO 7-6 CNN normalisation and loos function 25mn

VIDEO 7-6 CNN normalisation and loos function 25mn

VIDEO 7-5 CNN pooling 11mn

VIDEO 7-5 CNN pooling 11mn

VIDEO 7-3 CNN other types of convolutions 11mn

VIDEO 7-3 CNN other types of convolutions 11mn

VIDEO 7-7 CNN regularisation-data augmentation-dropout 23mn

VIDEO 7-7 CNN regularisation-data augmentation-dropout 23mn

VIDEO 7-4 CNN activation function 12mn

VIDEO 7-4 CNN activation function 12mn

VIDEO 7-1 CNN intro and convolution 26mn

VIDEO 7-1 CNN intro and convolution 26mn

VIDEO 4-3 Bayes classifiers 26mn

VIDEO 4-3 Bayes classifiers 26mn

VIDEO 7-2 CNN vs Fully connected 11mn

VIDEO 7-2 CNN vs Fully connected 11mn

VIDEO 5-5 Backpropagation variations 16mn

VIDEO 5-5 Backpropagation variations 16mn

VIDEO 5-3 Backpropagation details 25mn

VIDEO 5-3 Backpropagation details 25mn

VIDEO 5-4 Backpropagation examples 16mn

VIDEO 5-4 Backpropagation examples 16mn

VIDEO 4-5 continuous perceptron classification 15mn

VIDEO 4-5 continuous perceptron classification 15mn

VIDEO 4-6 Multicategory SLP classification 17mn

VIDEO 4-6 Multicategory SLP classification 17mn

VIDEO 5-2 Intro Backpropagation 6mn

VIDEO 5-2 Intro Backpropagation 6mn

VIDEO 5-1 Intro MLP 9mn

VIDEO 5-1 Intro MLP 9mn

VIDEO 4-4 Discrete Perceptron Classification-geometrical explanation 28mn

VIDEO 4-4 Discrete Perceptron Classification-geometrical explanation 28mn

VIDEO 4-2 More Single Layer Perceptron - limitations 8mn

VIDEO 4-2 More Single Layer Perceptron - limitations 8mn

VIDEO 3-6 Learning rule 5 - Boltzman LR-15mn

VIDEO 3-6 Learning rule 5 - Boltzman LR-15mn

VIDEO 4-1 Single Layer Perceptron 11mn

VIDEO 4-1 Single Layer Perceptron 11mn

VIDEO 3-4 Learning rule 3-Hebbian-9mn

VIDEO 3-4 Learning rule 3-Hebbian-9mn

VIDEO 3-5 Learning rule 4 - Competitive LR- 14mn

VIDEO 3-5 Learning rule 4 - Competitive LR- 14mn

VIDEO 3-3 Learning rule 2-memory based 11mn

VIDEO 3-3 Learning rule 2-memory based 11mn

VIDEO 3-2 Learning rule 1 25mn

VIDEO 3-2 Learning rule 1 25mn

VIDEO 3-1 Intro to Learning rules 20mn

VIDEO 3-1 Intro to Learning rules 20mn

VIDEO 2-4 Intro to Artificial Neural Learning 25mn

VIDEO 2-4 Intro to Artificial Neural Learning 25mn

VIDEO 2-3 ANNs from neurons to architecture and learning mechanisms 30mn

VIDEO 2-3 ANNs from neurons to architecture and learning mechanisms 30mn

VIDEO 2-2 ANN History and applications 10mn

VIDEO 2-2 ANN History and applications 10mn

VIDEO 2-1 Computer vision and neural processing

VIDEO 2-1 Computer vision and neural processing

4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data

4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data

Hands-on Bayesian Neural Networks - a Tutorial for DeepLearning Users

Hands-on Bayesian Neural Networks - a Tutorial for DeepLearning Users

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Mohammed Bennamoun - University of Western Australia

Markerless Upper Body Parts Tracking - Tremor analysis for Parkinson Disease Patients.

Markerless Upper Body Parts Tracking - Tremor analysis for Parkinson Disease Patients.

Markerless Body Parts Tracking - Tremor analysis for Parkinson Disease Patients.

Markerless Body Parts Tracking - Tremor analysis for Parkinson Disease Patients.

UWA on Channel 10 News

UWA on Channel 10 News

Surfers Detection and Tracking

Surfers Detection and Tracking

UWA Shark Detection and Tracking

UWA Shark Detection and Tracking

SharkSpotting Channel7 1

SharkSpotting Channel7 1

UWA face & gait tracking

UWA face & gait tracking

UWA Robot Follow me

UWA Robot Follow me