TENSORFLOW VS
PYTORCH 2
TensorFlow
TensorFlow (Google ́s TensorFlow) is
currently one of the most common global
deep learning library, Google employs
machine learning for translation, search
engine and image capturing. Because of this
deep learning library, the users of Google
can experience a faster and more §liable
search which is done with Artificial
Intelligence [1]. Through this library,
Google can provide a recommendation of
the texts for example, when one types
convolut... Google will suggest the other
remaining words like convolutional neural
network as seen in the image below;
Figure 1: Showing Google suggestion of the
next words in a sentence through
TensorFlow
[1]
TensorFlow was developed by the brain of
Google team to help accelerate deep neural
and machine learning research, it was built
with a world massive computer. This library
was developed to run on several GPCs,
mobile operating system and CPUs.
TensorFlow has multiple wrappers which
operate in several languages like the Java,
C++ and Python.
Working principle of TensorFlow
TensorFlow enables the designers to
develop dataflow graphs (these are
structures which elaborate how data flows
via a series or a graph of processing node).
Every graph ́s node signifies a mathematical
operation and every edge or connection
between the nodes is an array of
multidimensional data. The programmer can
realize all these through the use of Python
language. It is easier to study and to deal
with Python language as opposed to other
substitute programming languages like C++
and Java. Python also provides offers

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Convolutional Neural Networks with TensorFlow

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