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Artificial Intelligence - Tensorflow

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Lesson Description


Lession - #981 Tensorflow Introduction


How can it work?

By tolerating inputs as a multi-faceted cluster called Tensor, TensorFlow permits you to make dataflow diagrams and designs to indicate how information goes through a chart. It lets you to make a flowchart of tasks that might be done on these sources of info, which travel in one heading and out the other.




    


Tensorflow History
TensorFlow was created by the Google Brain group for inside Google use in exploration and creation. The underlying adaptation was delivered under the Apache License 2.0 in 2015. Google delivered the refreshed variant of TensorFlow, named TensorFlow 2.0, in September 2019.

Tensorflow's Structure
Preprocessing the information, constructing the model, lastly preparing and assessing the model are the three components of the Tensorflow design.

Tensorflow gets its name from the way that it takes input as a multi-faceted cluster, generally known as tensors. You can make a flowchart of the tasks you'd need to run on that info. The info enters toward one side, goes through this arrangement of different cycles, and arises as result at the other.

What is model Zoo TensorFlow?
TensorFlow 2 Detection Model Zoo
We give an assortment of discovery models pre-prepared on the COCO 2017 dataset. These models can be valuable for out-of-the-container deduction assuming that you are keen on classes currently in those datasets. You can attempt it in our deduction colab.

API Documentation tensorflow core v2.9.0 TensorFlow has APIs available in several languages both for constructing and executing a TensorFlow graph. The Python API is at present the most complete and the easiest to use, but other language APIs may be easier to integrate into projects and may offer some performance advantages in graph execution.

What is quantum TensorFlow?
TensorFlow Quantum (TFQ>
is a quantum AI library for quick prototyping of cross breed quantum-traditional ML models.

Can I use TensorFlow for NLP?
In Course 3 of the deeplearning.ai TensorFlow Specialization, you will construct regular language handling frameworks utilizing TensorFlow.



Installing TensorFlow for Golang ·click