Simple machine learning algorithms


0

605

May 24, 2019

Increasing accuracy, complexity and realworld impact


0

570

May 25, 2019

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


1

1922

May 24, 2019

Increasing model sizes


0

507

May 25, 2019

The number of neurons in animals and artificial neural networks


1

1671

May 25, 2019

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


1

1352

May 25, 2019

The deep learning's history


0

1112

May 25, 2019

Simple linear models: predecessors of modern deep learning


0

499

May 25, 2019

Increasing dataset sizes


0

1643

May 25, 2019

The third wave of neural networks research


0

722

May 25, 2019

What is «connectionism»?


0

420

May 25, 2019

Deep neural networks in the mid1990s  mid2000s


0

459

May 25, 2019

What is «distributed representation»?


0

472

May 25, 2019

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


1

762

May 25, 2019

What is the «computational neuroscience»?


0

475

May 25, 2019

What has neuroscience given to deep learning?


1

742

May 25, 2019

Limitations of linear models


0

458

May 25, 2019

Historical trends in deep learning


0

435

May 24, 2019

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


0

1934

May 24, 2019

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


0

1347

May 24, 2019

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


0

858

May 24, 2019

What is a «feature»?


0

616

May 24, 2019

What is «disentangling factors of variation»?


0

390

May 24, 2019

What are «factors of variation»?


0

418

May 24, 2019

What is «representation learning»?


0

489

May 24, 2019

Сhoice of representation


0

591

May 24, 2019
