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.
...
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Deep Learning 2016: The Year in Review | Deep Learning Weekly
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Clone a voice in 5 seconds to generate arbitrary speech in real-time.
تنها ۵ ثانیه از صداتون رو به این نرم‌افزار بدید تا هر متنی که دلتون میخواد رو با صدای خودتون ایجاد کنه! البته من با CPU تست کردم احتمالا با GPU نتیجه خفن‌تری بده
#AI #voice #realtime #application #CUDA #python #pytorch #torch #artificial #intelligence #speech #neural #network
https://github.com/CorentinJ/Real-Time-Voice-Cloning
🙏Thanks to: @pythony
تنها ۵ ثانیه از صداتون رو به این نرم‌افزار بدید تا هر متنی که دلتون میخواد رو با صدای خودتون ایجاد کنه! البته من با CPU تست کردم احتمالا با GPU نتیجه خفن‌تری بده
#AI #voice #realtime #application #CUDA #python #pytorch #torch #artificial #intelligence #speech #neural #network
https://github.com/CorentinJ/Real-Time-Voice-Cloning
🙏Thanks to: @pythony