The SignalPop AI Designer and the MyCaffe AI Platform‘s implementation of Neural Style Transfer[1] and the VGG model[2] are now used to create large sized artistic prints – some as large as a ping-pong table! Creating these prints can run up to 2 trillion calculations and requires nearly all of the 50GB of video memory …
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In our latest release, version 0.10.2.124, we have added support for K-Nearest Neighbor (KNN) to the Siamese Net as described by [1] and [2]. KNN provides the Siamese Net with another way to perform ‘One-Shot’ learning on difficult datasets that include images the network has never seen before. How Does This Work? Most of the …
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In our latest release, version 0.10.2.38, we have added support for Siamese Nets as described by [1] and [2], and do so with the newly released CUDA 10.2 and cuDNN 7.6.5! The Siamese Net provides the ability to perform ‘One-Shot’ learning where an image that the network has never seen before, is quickly matched with …
Continue reading “Siamese Net with Contrastive Loss now supported with CUDA 10.2 and cuDNN 7.6.5!”
In our latest maintenance release, version 0.10.1.283, we have fixed numerous bugs and support the newly released NVIDIA CUDA 10.1.243 with cuDNN 7.6.4. You can now use Neural Style Transfer, Policy Gradient based reinforcement learning, Char-RNN LSTM based learning and much more with CUDA 10.1.243. New Features The following new features have been added to …
Continue reading “Maintenance Release #2 with CUDA 10.1.243/cuDNN 7.6.4 Support.”
In our latest maintenance release, version 0.10.1.221, we have fixed numerous bugs and support the newly released NVIDIA CUDA 10.1.243 with cuDNN 7.6.3. You can now use Neural Style Transfer, Policy Gradient based reinforcement learning, Char-RNN LSTM based learning and much more with CUDA 10.1.243. New Features The following new features have been added to …
Continue reading “Maintenance Release with CUDA 10.1.243/cuDNN 7.6.3 Support.”
In our latest release, version 0.10.1.169, we now support Noisy-Nets as described by Fortunato et al.[1], Prioritized Experience Replay as described by Schaul et al.[2] and Deep Q-Learning reinforcement learning as described by Castro et al.[3] and The Dopamine Team[4] and use these to train MyCaffe to beat the ATARI game ‘Breakout’! The action values …
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In our latest release, version 0.10.1.145, we have added support for a new Dual Recurrent/Reinforcement Learning Trainer that also supports the newly released NVIDIA CUDA 10.1.168 (Update 1) with cuDNN 7.6. With the dual RNN/RL trainer you can train the same model first in an recurrent style learning and then train the same model with …
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In our latest maintenance release, version 0.10.1.48, we have fixed numerous bugs and support the newly released NVIDIA CUDA 10.1 with cuDNN 7.5. You can now use Neural Style Transfer, Policy Gradient based reinforcement learning, Char-RNN LSTM based learning and much more with CUDA 10.1. New Features The following new features have been added to …
Continue reading “Maintenance Release with CUDA 10.1/cuDNN 7.5 Support.”
In our latest release, version 0.10.1.21, we have added support for the newly released NVIDIA CUDA 10.1 with cuDNN 7.5. You can now use Neural Style Transfer, Policy Gradient based reinforcement learning, Char-RNN LSTM based learning and much more with CUDA 10.1. New Features The following new features have been added to this release. Added …
In our latest release, version 0.10.0.190, we have added Neural Style Transfer as described by [1] using the VGG model [2]. With Neural Style Transfer, the style of one photo (such as Vincent Van Gogh’s Starry Night) is learned by the AI model and applied to a content photo (such as the photo of train …
Continue reading “Neural Style Transfer now supported with cuDNN 7.4.2!”
