TensorFlow is an open source Artificial Intelligence library, created by the Google Brain team, that helps programmers and developers build models using data flow graphs. It is available for free download on the internet. You can hit the download button and get started with it immediately. With Tensorflow, developers can create multi layered large scale neural networks. Google built Tensorflow with its programming language as C++. Although when the developing applications for this AI engine come into picture, developers have the freedom to use either python or C++.
Get Started with TensorFlow
First, install tensorflow from their official website. Then, install the Conda package which allows the use of separate multiple environments on a machine. To install packages in TensorFlow, use conda install or pip install commands.
To begin with, we install biopython instead of NumPy(a python library for multi-dimensional arrays) as it’s more extensive and contains a few additional packages, using the following command: conda create --name TensorFlowEnv biopython Next, to activate the Conda environment, use source activate TensorFlowEnv Now, prior to installing the TensorFlow library, it is a good step to update pip to the latest version using pip install --upgrade pip. Now, we’re ready to install TensorFlow using pip install tensorflow. Now that TensorFlow is installed, you can begin with your code.
What TensorFlow primarily does is manipulate the given data by creating and forming a computational graph or a dataflow graph. These manipulations are mainly performed by nodes and edges which perform operations such as division, subtraction, addition, etc.
The main uses of TensorFlow are for : - Classification - Understanding - Discovering - Perception - Prediction - Creation
You might wonder why TensorFlow is spoken highly of and is widely used. There are a few reasons behind this.
First, the use of TensorFlow is versatile and is used for both research and commercial applications. It is made available to use for everybody under the Apache 2.0 open source license.
Second, your privacy is not breached. All your files stay secure.
Third, compared to other deep learning frameworks, TensorFlow provides exceptional functionalities and frameworks. This is the best framework to carry out complex parallel computations and build advanced neural network models.
Some of the most popular companies across several domains such as Apple, WaltDisney, Nielsen and many more use TensorFlow for computation.
Some of the most common applications built using TensorFlow are:
1. Voice Recognition - mostly used in IoT, UI/UX, Security
2. Sentiment Analysis - most common use is in Customer Relationship Management Software.
3. Flaw Detection - most common use is in the Automotive and Aviation industry
4. Voice search - mostly used by handset manufacturers.
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