SEL - KERAS AND TENSORFLOW CODING BASICS: FOR ABSOLUTE BEGINNERS

You'll need Anaconda Distribution, which is funded by a company called Continuum Analytics, to install Keras.

Anaconda is an open-source and free distribution that offers a forum for Python and R languages. It is platform-agnostic, which means that it can be installed on any operating system, including MAC OS, Windows, and Linux, depending on the needs of the user. It has developed over 1500 Python/R packages that are needed for developing deep learning and machine learning models.

It comes with several IDEs, including Jupyter Notebook, Anaconda prompt, Spyder, and others, for fast Python installation.

It will automatically install Python with some features once it is installed.

To get Anaconda, go to one of your favorite browsers and type Download Anaconda Python into the search bar, or simply click on the link below.

The download section can be found at https://www.anaconda.com/distribution/#download-section .

When you click the first link, you'll be taken to the Anaconda download page, as shown below:

Anaconda is available for a variety of operating systems, including Windows, Mac OS X, and Linux.

You can get it by selecting one of the available choices for your operating system.

It will provide you with Python 2.7 and Python 3.7. Python 3.7 is the most recent update, so press the download button to get it.

After you select the download option, the download will begin automatically.

After the download is complete, go to the download folder and double-click the Anaconda3-2019.03-Windows-x86 64.exe file.

The Anaconda installation setup window will pop up, and you'll need to click Next, as shown below:

Follow the instructions and install it.

After you've finished installing Anaconda, you'll need to create a new conda environment where you'll install all of the modules you'll need to design your models.

You can run Anaconda prompt as an administrator by searching for it in the search bar, clicking on it, and then selecting the first option, Run as administrator.

The next step is to build an atmosphere. To do so, type the following command into the anaconda prompt and hit enter.

Although deeplearning specifies the name of the environment, you can write whatever you want.

Since this is a new environment, you may need to repeat a few installations to prevent the following error: When importing Keras, a ModuleNotFoundError occurred: No module called 'keras' was found.

So, you'll need to run two of the most important commands because jupyter and spyder aren't preinstalled when you build an area, so you'll need to run them.

To begin, run the jupyter command, which is as follows:

Keras is a model-level library that provides high-level building blocks for deep learning models.

It relies on the backend engine, which is a well-specialized and optimized tensor manipulation library, rather than supporting low-level operations such as tensor products, convolutions, and so on.

Keras is not connected to a single library of a tensor. It solves the problem in a modular way by allowing several different back-end engines to be seamlessly integrated into Keras.

The following are the three backend implementations that are currently available:

This open-source platform for manipulating symbolic tensors was created by Google.