To be able to get there, you will need to do the following:Ģ. I find Bazel a little bit cumbersome and less intuitive, so I will show you how to start with Bazel to build the basic framework and then how to move on into developing your C++ code in XCode without needing a Terminal for every step in the way.

Most of the instructions you can find on the web deal with Bazel builds. This post will explain how to get started with TensorFlow 2.0 Alpha, on a Mac with a standalone project that you can use XCode for, without using a Bazel builds in terminal. This is still not mainstream, but it makes it easier to bridge the gap between Windows and Linux. I use a Mac, and I guess some of you do as well. So when I heard that TensorFlow 2.0 will be including some major improvements in the C++ APIs, I had to check it out. However white spaces and indentations are something that are difficult for me to wrap my head around. It also contains some concepts from C++ and its internals are also written in C++ (AFAIK). This is a must, as most frameworks do not support any other language, making Python the de-facto language of the domain. When I became interested in Machine Learning, I had to learn Python. It is not at the top of the list, but over 40% of developers are using it. I like the aesthetics of C++, and with its recent developments (mainly incorporating STD as part of the language) I think it also overcame the disadvantages of pointer related bugs which used to result in crashes and memory leaks.Īccording to a recent survey by Stack Overflow, Python is the fastest growing major programing language. When everyone began coding in Java, I had already moved into management positions, so I did not go through the process of moving to what most people call 3rd generation languages (which refers to having a framework built inside). As a result, my programming mind is heavily influenced by C++, the language I like and prefer. This post will describe how to code in C++ using TensorFlow, on a Mac, while bypassing Bazel builds, which I find too cumbersome to use. How to use your C++ muscle using TensorFlow 2.0 and XCode (without using Bazel builds)

Coding c++ in xcode