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, ...

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 course introduces you to deep learning: the state-of-the-art approach to building artificial intelligence algorithms. We cover the basic components of deep learning, what it means, how it works, ...

data-science-ipython-notebooks Index deep-learning tensorflow theano keras caffe tensorflow theano keras caffe scikit-learn statistical-inference-scipy pandas matplotlib numpy python-data ...