In this tutorial, you will download a version of TensorFlow that will enable you to write the code for your deep learning project in Python. On the TensorFlow installation webpage, you’ll see some of ...

Changes: Added Cython to list of packages to install in Section 2d. Removed instructions to add PYTHONPATH to PATH in Section 2e, because it's not needed. This repository is a tutorial for how to use ...

TensorFlow has emerged as one of the most popular frameworks for building machine learning models. Whether you are a beginner or an experienced data scientist, understanding how to build AI models ...

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, ...

The year was 2012 when a team of three researchers released a paper on a new Convolutional Neural Network(CNN) architecture for image classification. Their proposal looked promising on papers and ...

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 ...

Day 54 - Today I started working with TensorFlow, one of the most powerful libraries for Deep Learning # What is TensorFlow? -TensorFlow is an open-source library developed by Google for: - Machine ...

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 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.