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Implementation
Published in Seyedeh Leili Mirtaheri, Reza Shahbazian, Machine Learning Theory to Applications, 2022
Seyedeh Leili Mirtaheri, Reza Shahbazian
As mentioned earlier, Keras is a wrapper library for Deep Learning libraries aiming to make low-level implementations hidden. Other wrapper libraries include: There are lots of wrappers for TensorFlow. External wrapper packages are Keras, TensorLayer, and TFLearn. Wrappers from Google Deepmind are Sonnet and PrettyTensor. Wrappers within native TensorFlow are TF-Slim, tf.Keras, tf.contrib.learn, and tf.layers.Gluon is a wrapper for MXNet. Gluon’s API specification tries to enhance DL technology’s speed, flexibility, and accessibility for all developers, regardless of their DL framework choice. Gluon is a product by Amazon Web Services and Microsoft AI and released under Apache 2.0 license.NVIDIA Digits is a web application for training DNNs for image classification, segmentation, and object detection tasks using Deep Learning backends such as Caffe, Torch, and TensorFlow with a wide variety of image formats and sources with Digits plugins. It simplifies typical Deep Learning tasks, namely managing data, designing and training Neural Networks on multi-GPU systems, real-time performance monitorization with advanced visualizations, and selecting the best performing model for deployment based on the results browser. The tool is mostly interactive (GUI) with several pre-trained models, e.g., AlexNet, GoogLeNet, LeNet, and UNet from the Digits Model Store. Digits are released under the BSD 3-clause license.Lasagne is a light library to build and train Neural Networks in Theano with six principles:
A multi-order nonlinear meta-analysis of bifluidic fireball sheath fluctuations
Published in Waves in Random and Complex Media, 2023
Subham Dutta, Pralay Kumar Karmakar
Apart from the laboratory and astrophysical scenarios, the fireball model is also relevant in production (manufacturing) and a number of plasma processing units. One of the most predominant processes include the energy generation through thermonuclear fusion [18], analysis of quark-gluon plasma, high-energy collision in huge colliders (e.g. Large Hadron Collider, Relativistic Heavy Ion Collider, and Super Proton Synchrotron) [19], and heavy synchrotron experiments [19], etc. Moreover, a modified IFB model and related Buneman instability or fluctuations [19,20] are utilizable ahead in dealing with some supernovae explosions, e.g. SN2011fe [20], stellar chromosphere [20], cometary tails [21], meteorite objects [21,22], gamma-ray bursts [21], and so on. We further intend to explore the nonlinearities involved with the various plasma parameters in the PFS operation zones. The sheath and DL formed in the fireball system host various nonlinear phenomena of structure formation of high realistic significance [5]. As a consequence, a thorough investigation on the relevant plasma parameters across the PFS structure is needed to see the associated collective stability dynamics in a practical sense. As the fireball events are spatiotemporally unstable in both laboratory [5] and astrophysical [22] environs, an appropriate model formalism to see the multi-order nonlinear PFS instability dynamics against this backdrop is hence needed. A nonlinear bifluidic plasma model approach is efficaciously adopted herein for the nonlinear stability analysis. It self-consistently reduces the entire PFS system into a unique set of inhomogeneous differential equations on the multi-order perturbations with multiparametric variable coefficients. This indeed is the main novelty of this study founded on the nonlinear multi-order instability patterns in the PFS context. After an imposition of relevant physical boundary conditions [15], the new plasma parametric fluctuation patterns are obtained with the help of MATLAB programming. It yields mainly atypical nonlinear PFS eigenmode structures as a unique peakon family, tangibly corroborating with the experimental findings on direct fireball sheath system, already reported elsewhere [3]. The analytical facts and faults of our theoretic investigation are finally discussed together with a refined indication to its future applicability in diverse astrolabcosmic PFS circumstances.