Deep Learning 2016: The Year in Review
http://www.deeplearningweekly.com/blog/deep-learning-2016-the-year-in-review
✔️ #Unsupervised and #Reinforcement Learning
✔️ Deep Reinforcement Learning
✔️ #Generative Models
✔️ Continued Openness in AI development
✔️ Partnerships & Acquisitions
✔️ Hardware & Chips
(by Jan Bussieck on December 31, 2016)
In order to understand trends in the field, I find it helpful to think of developments in #deep_learning as being driven by three major frontiers that limit the success of #artificial_intelligence in general and deep learning in particular. Firstly, there is the available #computing power and #infrastructure, such as fast #GPUs, cloud services providers (have you checked out Amazon's new #EC2 P2 instance ?) and tools (#Tensorflow, #Torch, #Keras etc), secondly, there is the amount and quality of the training data and thirdly, the algorithms (#CNN, #LSTM, #SGD) using the training data and running on the hardware. Invariably behind every new development or advancement, lies an expansion of one of these frontiers.
...
http://www.deeplearningweekly.com/blog/deep-learning-2016-the-year-in-review
✔️ #Unsupervised and #Reinforcement Learning
✔️ Deep Reinforcement Learning
✔️ #Generative Models
✔️ Continued Openness in AI development
✔️ Partnerships & Acquisitions
✔️ Hardware & Chips
(by Jan Bussieck on December 31, 2016)
In order to understand trends in the field, I find it helpful to think of developments in #deep_learning as being driven by three major frontiers that limit the success of #artificial_intelligence in general and deep learning in particular. Firstly, there is the available #computing power and #infrastructure, such as fast #GPUs, cloud services providers (have you checked out Amazon's new #EC2 P2 instance ?) and tools (#Tensorflow, #Torch, #Keras etc), secondly, there is the amount and quality of the training data and thirdly, the algorithms (#CNN, #LSTM, #SGD) using the training data and running on the hardware. Invariably behind every new development or advancement, lies an expansion of one of these frontiers.
...
Deeplearningweekly
Deep Learning 2016: The Year in Review | Deep Learning Weekly
A weekly newsletter about the latest developments in Deep Learning
VQABQ: Visual Question Answering by Basic Questions
🔗 https://arxiv.org/abs/1703.06492
#VQA #deep_learning #computer_vision #NLP #Image_captioning
#GRU #LSTM #CNN
🔗 https://arxiv.org/abs/1703.06492
#VQA #deep_learning #computer_vision #NLP #Image_captioning
#GRU #LSTM #CNN
Tensorflow(@CVision)
VQABQ: Visual Question Answering by Basic Questions 🔗 https://arxiv.org/abs/1703.06492 #VQA #deep_learning #computer_vision #NLP #Image_captioning #GRU #LSTM #CNN
مرتبط با مقاله: https://t.me/cvision/198
نمونه سوالات:
i. طبقه بندی صحنه: آیا این یک روز بارانی است؟
ii. بازشناسی شیء: چه چیزی بر روی میز است.
iii. طبقه بندی ویژگی: زمین چه رنگی است؟
iv. شمارش: چند نفر در اتاق هستند؟
v. تشخیص شی: آیا سیبی در تصویر وجود دارد؟
vi. تشخیص فعالیت: مرد در حال انجام چه نوع ورزشی است ؟
مقالات مشابه:
https://t.me/cvision/196
#VQA #deep_learning #computer_vision #NLP #Image_captioning
#GRU #LSTM #CNN
نمونه سوالات:
i. طبقه بندی صحنه: آیا این یک روز بارانی است؟
ii. بازشناسی شیء: چه چیزی بر روی میز است.
iii. طبقه بندی ویژگی: زمین چه رنگی است؟
iv. شمارش: چند نفر در اتاق هستند؟
v. تشخیص شی: آیا سیبی در تصویر وجود دارد؟
vi. تشخیص فعالیت: مرد در حال انجام چه نوع ورزشی است ؟
مقالات مشابه:
https://t.me/cvision/196
#VQA #deep_learning #computer_vision #NLP #Image_captioning
#GRU #LSTM #CNN
Telegram
Tensorflow
VQABQ: Visual Question Answering by Basic Questions
🔗 https://arxiv.org/abs/1703.06492
#VQA #deep_learning #computer_vision #NLP #Image_captioning
#GRU #LSTM #CNN
🔗 https://arxiv.org/abs/1703.06492
#VQA #deep_learning #computer_vision #NLP #Image_captioning
#GRU #LSTM #CNN