Mots-clés
deep learning
anomaly detection
bayesian optimization
control
dynamics
kinematics
robotics
optimal control
machine learning
gan
one-shot learning
nlp
자연어처리
lstm
tensorflow
tutorial
gaussian process
global optimal gain
lqr controller
hyper parameter optimization
gait optimization
optimal data sampling strategy
gaussian processing
camera frame
world frame
image
coordinate transformation
camera projection
policy net
actuator net
motor skill
quadruped
robots
model based reinforcement learning
quadruped robot
recurrent neural net
convolutional neural networks
deep one class classifier
support vector data description
real time control
rocket landing
likelihood
probability
information theory
entropy
loss function
cfd
physics informed machine learning
aerospace
radial basis function neural net
latent vector
auto encoder
rollable latent space
capsule nets
group equivariant convolutional. neural networks
convolutional neural nets
equivariance
invariance
이상진단
generative adversarial network
anomaly sdetection
imbalance problem
classfication
detection
focal loss
convolution
pointwise convolution
xception
depthwise convolution
mobilenets
transaction probability
round trip probability
similarity
semi-supervised
variational auto encoder
latent variable
generative model
hls
fpga
binarized cnn
t-sne
data visualization
t-stochastic neighbor embedding
weight normalization
normalization
layer normalization
batch normalization
image classification
memory
variational information maximization
latent code
infogan
generative adversarial nets
neural turing machine
memory networks
memory- augmented neural network
adaptive attention
image captioning
single shot multibox detector
segmentation
object detection
recurrent instance segmentation
딥러닝
cbow
머신러닝
skip gram
단어벡터
word vector
q learning
reinforcement learning
object localization
image caption generator
mnist
beginner
machinelearning
deep mnist for expert
example
cnn
Tout plus
Présentations
(34)J’aime
(7)Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Yoonho Lee
•
il y a 6 ans
ベイジアンディープニューラルネット
Yuta Kashino
•
il y a 6 ans
Understanding deep learning requires rethinking generalization (2017) 2 2(2)
정훈 서
•
il y a 7 ans
Understanding deep learning requires rethinking generalization (2017) 1/2
정훈 서
•
il y a 7 ans
Google Dev Summit Extended Seoul - TensorFlow: Tensorboard & Keras
Taegyun Jeon
•
il y a 7 ans
인공지능, 기계학습 그리고 딥러닝
Jinwon Lee
•
il y a 7 ans
Mots-clés
deep learning
anomaly detection
bayesian optimization
control
dynamics
kinematics
robotics
optimal control
machine learning
gan
one-shot learning
nlp
자연어처리
lstm
tensorflow
tutorial
gaussian process
global optimal gain
lqr controller
hyper parameter optimization
gait optimization
optimal data sampling strategy
gaussian processing
camera frame
world frame
image
coordinate transformation
camera projection
policy net
actuator net
motor skill
quadruped
robots
model based reinforcement learning
quadruped robot
recurrent neural net
convolutional neural networks
deep one class classifier
support vector data description
real time control
rocket landing
likelihood
probability
information theory
entropy
loss function
cfd
physics informed machine learning
aerospace
radial basis function neural net
latent vector
auto encoder
rollable latent space
capsule nets
group equivariant convolutional. neural networks
convolutional neural nets
equivariance
invariance
이상진단
generative adversarial network
anomaly sdetection
imbalance problem
classfication
detection
focal loss
convolution
pointwise convolution
xception
depthwise convolution
mobilenets
transaction probability
round trip probability
similarity
semi-supervised
variational auto encoder
latent variable
generative model
hls
fpga
binarized cnn
t-sne
data visualization
t-stochastic neighbor embedding
weight normalization
normalization
layer normalization
batch normalization
image classification
memory
variational information maximization
latent code
infogan
generative adversarial nets
neural turing machine
memory networks
memory- augmented neural network
adaptive attention
image captioning
single shot multibox detector
segmentation
object detection
recurrent instance segmentation
딥러닝
cbow
머신러닝
skip gram
단어벡터
word vector
q learning
reinforcement learning
object localization
image caption generator
mnist
beginner
machinelearning
deep mnist for expert
example
cnn
Tout plus