Tubidy MP3 & MP4

En popüler MP3 müziklerinizi ve MP4 videolarınızı ücretsiz indirin. Geniş bir multimedya içeriği seçkisini keşfedin ve sorunsuz indirmelerin tadını çıkarın.

Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge (NIPS 2016)
Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge (NIPS 2016)
|
Yükleniyor...
 Hızlı erişim için Tubidy'yi favorilerinize ekleyin.
Lütfen bekleyiniz...
Type
Size

İlgili Videolar

Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge (NIPS 2016)

Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge (NIPS 2016)

|
RNN Symposium: Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge

RNN Symposium: Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge

|
DeepMind's Nando de Freitas - Learning to Learn

DeepMind's Nando de Freitas - Learning to Learn

|
NIPS 2016 Workshop on Nonconvex Optimization: Nando de Freitas (Learning to Optimize)

NIPS 2016 Workshop on Nonconvex Optimization: Nando de Freitas (Learning to Optimize)

|
Nando de Freitas - On Learning

Nando de Freitas - On Learning

|
Nando de Freitas Lecture 4

Nando de Freitas Lecture 4

|
Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213

Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213

|
Deep Control - Nando de Freitas

Deep Control - Nando de Freitas

|
05 Convolutional Neural Networks Nando de Freitas

05 Convolutional Neural Networks Nando de Freitas

|
Nando de Freitas - Lecture 2 - RL and deep learning

Nando de Freitas - Lecture 2 - RL and deep learning

|
Turning Points of AI w/ Omoju Miller & Nando de Freitas @ The Deep Learning Indaba

Turning Points of AI w/ Omoju Miller & Nando de Freitas @ The Deep Learning Indaba

|
Neural Information Processing Systems Conference - NIPS 2016 Predictive Learning

Neural Information Processing Systems Conference - NIPS 2016 Predictive Learning

|
Deep Learning Lecture 14: Karol Gregor on Variational Autoencoders and Image Generation

Deep Learning Lecture 14: Karol Gregor on Variational Autoencoders and Image Generation

|
Learning feed-forward one-shot learners [NIPS 2016] [VALSE seminar]

Learning feed-forward one-shot learners [NIPS 2016] [VALSE seminar]

|
Bayesian Approaches for Black Box Optimization

Bayesian Approaches for Black Box Optimization

|
RNN Symposium 2016: Jürgen Schmidhuber - Asymptotically fastest solver of all well-defined problems

RNN Symposium 2016: Jürgen Schmidhuber - Asymptotically fastest solver of all well-defined problems

|
Interpretable Nonlinear Dynamic Modeling of Neural Trajectories [NIPS 2016 spotlight]

Interpretable Nonlinear Dynamic Modeling of Neural Trajectories [NIPS 2016 spotlight]

|
NIPS 2016 Spotlight - Deep learning for Human Strategic Behaviour

NIPS 2016 Spotlight - Deep learning for Human Strategic Behaviour

|
RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain

RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain

|
Deep Learning session at NIPS 2017

Deep Learning session at NIPS 2017

|

Favorilere Ekle