Shypd.aiThe largest open index of AI toolsDeepCL is an OpenCL library for training deep convolutional neural networks. It provides C++, Python, and command-line APIs for implementing and training deep learning models using OpenCL for accelerated computation.
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DeepCL is an open-source OpenCL library designed for training deep convolutional neural networks. It offers C++, Python, and command-line APIs, allowing developers to implement and train deep learning models efficiently. The library supports various layer types including convolutional, max-pooling, normalization, activation, and dropout, alongside loss functions like softmax cross-entropy and square loss. DeepCL also incorporates multiple trainers such as SGD, Anneal, Nesterov, Adagrad, Rmsprop, and Adadelta. It is compatible with OpenCL-enabled GPUs or APUs and provides installation procedures for Windows and Linux, including Python wrappers. The project is actively maintained on GitHub, with recent updates focusing on compatibility and performance enhancements.
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