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Artificial Intelligence - Tensorflow

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Lesson Description


Lession - #973 Tensorflow Home


TensorFlow meaning/whats TensorFlow?

TensorFlow is explained as an end-to-end open source platform for machine learning. It has an exhaustive, adaptable environment of apparatuses, libraries and local area assets that allows scientists to push the cutting edge in ML and engineers effectively assemble and send ML fueled applications.TensorFlow has implicit capacity to make tensors for use in factors. For instance, we can make a zero filled tensor of predefined shape utilizing the tf.TensorFlow is an open-source representative tensor control structure created by Google. Theano is an open-source representative tensor control structure created by LISA Lab at Université de Montréal. CNTK is an open-source tool compartment for profound learning created by Microsoft.

According to https://docs.python.org/3/tutorial/modules.html, TensorFlow qualifies as a package- a directory-organized set of modules to structure its namespace.

Is TensorFlow js equivalent to TensorFlow?
are a portion of the well known organizations that utilization TensorFlow, while TensorFlow. js is utilized by 8villages, ADEXT, and Taralite. TensorFlow has a more extensive endorsement, being referenced in 200 organization stacks and 135 designers stacks; contrasted with TensorFlow. js, which is recorded in 5 organization stacks and 3 engineer stacks.

Why TensorFlow is used?
TensorFlow gives you the adaptability and control with highlights like the Keras Functional API and Model Subclassing API for production of complicated geographies. For simple prototyping and quick troubleshooting, utilize anxious execution.

PyTorch and TensorFlow
Both PyTorch and TensorFlow are competent structures according to a displaying viewpoint, and their specialized contrasts now are less significant than the biological systems encompassing them, which give apparatuses to simple organization, the board, circulated preparing

What is successive in TensorFlow?
A Sequential model is proper for a plain heap of layers where each layer has precisely one info tensor and one result tensor.

Top TensorFlow-Based Projects That ML Beginners Should Try

Could I at any point utilize TensorFlow in Julia?
There's no Tensorflow-2.0 authority API/bundle accessible for Julia at this point. Note that even execution of Tensorflow for Julia which is TensorFlow. jl was not official one and it was local area based with the methodology suggested by the TensorFlow maintainers and furthermore it was simply Julia covering for Tensorflow .

tensorflow 1.5.1 - PyPI here