Simple machine learning algorithms


0

258

May 24, 2019

Increasing accuracy, complexity and realworld impact


0

252

May 25, 2019

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


1

800

May 24, 2019

Increasing model sizes


0

215

May 25, 2019

The number of neurons in animals and artificial neural networks


1

526

May 25, 2019

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


1

467

May 25, 2019

The deep learning's history


0

472

May 25, 2019

Simple linear models: predecessors of modern deep learning


0

204

May 25, 2019

Increasing dataset sizes


0

617

May 25, 2019

The third wave of neural networks research


0

300

May 25, 2019

What is «connectionism»?


0

178

May 25, 2019

Deep neural networks in the mid1990s  mid2000s


0

202

May 25, 2019

What is «distributed representation»?


0

205

May 25, 2019

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


1

345

May 25, 2019

What is the «computational neuroscience»?


0

232

May 25, 2019

What has neuroscience given to deep learning?


1

361

May 25, 2019

Limitations of linear models


0

204

May 25, 2019

Historical trends in deep learning


0

192

May 24, 2019

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


0

759

May 24, 2019

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


0

351

May 24, 2019

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


0

333

May 24, 2019

What is a «feature»?


0

303

May 24, 2019

What is «disentangling factors of variation»?


0

174

May 24, 2019

What are «factors of variation»?


0

174

May 24, 2019

What is «representation learning»?


0

204

May 24, 2019

Сhoice of representation


0

198

May 24, 2019
