TensorFlow is a free software library focused on machine learning developed by Google, also known as Google Tensorflow. We are going to install Tensorflow on Mac.
Let’s get started!
Initially released as part of the Apache 2.0 Open Source License, TensorFlow was originally developed for internal use by Google, engineers, and researchers from the Google Brain team.
TensorFlow is considered the successor to the closed source application Dust Bailiff and is currently used by Google for research and production purposes.
It is considered to be the first serious implementation of an in-depth learning framework.
This one derives its name from the multifaceted ranks called tensors, which are used for various operations by the neural network.
According to Google
According to Google, compared to Dust Bailiff, TensorFlow is faster, smarter, and more flexible and can easily adapt to new areas and products. It is designed primarily to facilitate deep neural network research and machine learning, although TensorFlow has been used in other areas as well.
Tensorflow works by sorting through layers of data (also called nodes) as part of learning. In the first layer, the system determines the basic properties of the object. The deeper the movement, the better the information about it. Image sorting is done at a faster rate, thus giving users more valuable information.
This one is also available on various operating systems such as Linux, Windows, Mac OS and on mobile operating platforms such as iOS and Android.
One of the salient features of TensorFlow is that it is capable of running on multiple CPUs and GPUs. Computation in TensorFlow has been reported as state data flow graph. TensorFlow is currently using in over 6,000 free online stores.
Experts talk about these TPU processors because it helps to achieve low volume processing at the same time.
Starting with an 8-bit setup that follows CISC guidelines, Google eventually expanded the memory and bandwidth of these devices to achieve a new kind of performance. Experts also say that Google uses a mix-and-match system instead of using exclusively tensor processing units, the company still promotes the use of CPUs and other resources with TPUs.
“We are excited about these new TPUs and want to share them with the world so that everyone can access their benefits,” said a statement announcing the launch of the second-generation TPUs in Google Cloud. Could do. ” By offering TPUs functionality as part of the proprietary system, Google is able to retain control of TPUs and still offer clients use.
How to Install Tensorflow on Mac?
Here are the steps to install the TensorFlow on Mac.
- Python 3.6–3.8
- macOS 10.12.6 (Sierra) or later (no GPU support)
- Step 1: Verify the python version:
$ python3 --version
- Step 2: Verify if the brew is installed:
$ brew --version
- Step 3: Create the virtual environment:
$ brew install virtualenv
- Step 4: After creating a new virtual environment, create a ./pythonenv directory to hold it.
$ virtualenv --system-site-packages -p python3 ./pythonenv
- Step 5: Go inside ./pythonenv
$ cd ./pythonenv
- Step 6: Activate the virtual environment
- Step 7: Install TensorFlow.
brew install tensorflow
- Step 8: Create a new folder inside /pythonenv called tfdemo.
Create a new file inside tfdemo called tfdemofile.py.
- Step 9: Run the file:
$ python3 tfdemofile.py
Hope this guide is helpful for you. You can check if Tensorflow is Using GPU and AttributeError: module ‘tensorflow’ has no attribute ‘Session’.
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