TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

Machine learning couldn’t be hotter, with several heavy hitters offering platforms aimed at seasoned data scientists and newcomers interested in working with neural networks. Among the more popular ...

This chapter explains TensorFlow fundamentals based on deep learning framework. It plays a major role in pattern recognition, specifically about language, images, sound, and time‐series data.

This tutorial will guide you through building a machine learning classifier for North American projectile points using Python and TensorFlow, all inside Google Colab. By the end, you will have a fully ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of ...

I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now. And ...

This is just a TensorFlow / Deep Learning tutorial series which I have been making. I am not a pro deep learning engineer. So take my words as references, not golden rules. Meanwhile, have fun.

Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks. There’s been a lot of renewed interest in the topic recently because of the success of ...