Deep Learning Using TensorFlow

What is Deep Learning?

As we saw in our previous blog AI - Machine Learning & Deep Learning that deep learning is a subfield of machine learning. While both fall under the broad category of artificial intelligence, deep learning is what powers the most human-like artificial intelligence.

In this blog we will make an attempt to learn the basics about Google's deep learning framework using TensorFlow and Python.

What is TensorFlow

In order to implement Machine Learning, TensorFlow provides software libraries to create computational graph. I selected TensorFlow mainly because of my love for open source. You can get more information on TensorFlow from its website.

This is my step by step guide to installing TensorFlow on macOS Mojave.

Requisites

    Hardware

Model Name: MacBook Pro 

Model Identifier: MacBookPro15,1 

Processor Name: Intel Core i9 

Processor Speed: 2.9 GHz 

Number of Processors: 1 

Total Number of Cores: 6 

L2 Cache (per Core): 256 KB 

L3 Cache: 12 MB 

Memory: 32 GB 

OS: macOS 10.14.3 (18D32a) 

    Software

Package Manager: Home Brew 

Big Data: Hadoop 

Cluster Computing Framework: Apache Spark 2.0.0 

Installation
    Install Xcode 8.0.

                    Xcode can be updated from 

https://developer.apple.com/xcode/downloads/ 

If 8.0 is installed, you may need to: 

sudo xcode-select --switch /path/to/Xcode-beta.app 

bash-3.2$ sudo xcode-select --switch /Applications/Xcode-beta.app 

    Install Home Brew

Install Tensor flow

Open a terminal in MAC.

CMD + Space & type Terminal or open terminal from launcher

$ brew install tensorflow

==> Downloading https://homebrew.bintray.com/bottles/libtensorflow-1.12.0.mojave.bottle.tar.gz

######################################################################## 100.0%

==> Pouring libtensorflow-1.12.0.mojave.bottle.tar.gz

🍺  /usr/local/Cellar/libtensorflow/1.12.0: 9 files, 158.7MB

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Kinshuk Dutta

New York