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


2

2504

April 2, 2024

Simple machine learning algorithms


0

724

May 24, 2019

Increasing accuracy, complexity and realworld impact


0

716

May 25, 2019

Increasing model sizes


0

628

May 25, 2019

The number of neurons in animals and artificial neural networks


1

2120

May 25, 2019

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


1

1730

May 25, 2019

The deep learning's history


0

1403

May 25, 2019

Simple linear models: predecessors of modern deep learning


0

611

May 25, 2019

Increasing dataset sizes


0

2053

May 25, 2019

The third wave of neural networks research


0

848

May 25, 2019

What is «connectionism»?


0

510

May 25, 2019

Deep neural networks in the mid1990s  mid2000s


0

576

May 25, 2019

What is «distributed representation»?


0

615

May 25, 2019

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


1

900

May 25, 2019

What is the «computational neuroscience»?


0

573

May 25, 2019

What has neuroscience given to deep learning?


1

940

May 25, 2019

Limitations of linear models


0

581

May 25, 2019

Historical trends in deep learning


0

691

May 24, 2019

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


0

2463

May 24, 2019

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


0

1755

May 24, 2019

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


0

1064

May 24, 2019

What is a «feature»?


0

724

May 24, 2019

What is «disentangling factors of variation»?


0

479

May 24, 2019

What are «factors of variation»?


0

518

May 24, 2019

What is «representation learning»?


0

593

May 24, 2019

Сhoice of representation


0

715

May 24, 2019
