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Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo's discovery of the moons of Jupiter, as documented in notebooks attributed to Galileo. Jupyter is financially sponsored by NumFOCUS.
TensorFlow.nn is a module for executing primitive neural network operations on models. [38] Some of these operations include variations of convolutions (1/2/3D, Atrous, depthwise), activation functions ( Softmax, RELU, GELU, Sigmoid, etc.) and their variations, and other operations ( max-pooling, bias-add, etc.).
Google JAX. Google JAX is a machine learning framework for transforming numerical functions to be used in Python. [2] [3] [4] It is described as bringing together a modified version of autograd [5] (automatic obtaining of the gradient function through differentiation of a function) and TensorFlow 's XLA (Accelerated Linear Algebra).
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File:Google Colaboratory SVG Logo.svg. Size of this PNG preview of this SVG file: 800 × 493 pixels. Other resolutions: 320 × 197 pixels | 640 × 394 pixels | 1,024 × 631 pixels | 1,280 × 789 pixels | 2,560 × 1,577 pixels | 977 × 602 pixels. Original file (SVG file, nominally 977 × 602 pixels, file size: 959 bytes) This is a file from ...
Google JAX: Google 2018 Apache License 2.0: Yes Linux, macOS, Windows: Python: Python: Only on Linux No Yes No Yes Yes Keras: François Chollet 2015 MIT license: Yes Linux, macOS, Windows: Python: Python, R: Only if using Theano as backend Can use Theano, Tensorflow or PlaidML as backends Yes No Yes Yes: Yes Yes No: Yes: Yes
Kolab is a free and open source groupware suite. It consists of the Kolab server and a wide variety of Kolab clients, including KDE PIM -Suite Kontact, Roundcube web frontend, Mozilla Thunderbird and Mozilla Lightning with SyncKolab extension and Microsoft Outlook with proprietary Kolab-Connector PlugIns.
Inceptionv3. Inception v3 [1] [2] is a convolutional neural network for assisting in image analysis and object detection, and got its start as a module for GoogLeNet. It is the third edition of Google's Inception Convolutional Neural Network, originally introduced during the ImageNet Recognition Challenge. The design of Inceptionv3 was intended ...