Simple machine learning algorithms


0

662

May 24, 2019

Increasing accuracy, complexity and realworld impact


0

642

May 25, 2019

Goodfellow, Bengio, Courville  «Deep Learning» (2016)


1

2143

May 24, 2019

Increasing model sizes


0

564

May 25, 2019

The number of neurons in animals and artificial neural networks


1

1868

May 25, 2019

The number of connections per neuron in animals and artificial neural networks


1

1549

May 25, 2019

The deep learning's history


0

1257

May 25, 2019

Simple linear models: predecessors of modern deep learning


0

558

May 25, 2019

Increasing dataset sizes


0

1874

May 25, 2019

The third wave of neural networks research


0

784

May 25, 2019

What is «connectionism»?


0

462

May 25, 2019

Deep neural networks in the mid1990s  mid2000s


0

524

May 25, 2019

What is «distributed representation»?


0

533

May 25, 2019

Why has the neuroscience's role in deep learning been diminished?


1

828

May 25, 2019

What is the «computational neuroscience»?


0

525

May 25, 2019

What has neuroscience given to deep learning?


1

843

May 25, 2019

Limitations of linear models


0

519

May 25, 2019

Historical trends in deep learning


0

530

May 24, 2019

Relationships between deep learning, representation learning, machine learning, and artificial intelligence


0

2180

May 24, 2019

2 main ways of measuring the depth of a deep learning model


0

1532

May 24, 2019

How does deep learning solve the central problem in representation learning?


0

943

May 24, 2019

What is a «feature»?


0

663

May 24, 2019

What is «disentangling factors of variation»?


0

428

May 24, 2019

What are «factors of variation»?


0

463

May 24, 2019

What is «representation learning»?


0

543

May 24, 2019

Сhoice of representation


0

656

May 24, 2019
