Are you interested in learning machine learning and deep learning? TensorFlow is the single most popular library available today. Offering some of the very best graph computations, TensorFlow helps data scientists in designing neural networks using a cool feature called TensorBoard. It has support for both recurrent neural networks (RNNs) and convolution, as well as parallel processing support on GPU and CPU.
While TensorFlow is an incredibly important machine and deep learning library, we also give you an introduction to three others - NumPy, Pandas, and Scikit Learn. I have produced a hands-on guide, with plenty of code examples for you to follow along with.
Here’s what you will learn:
What deep learning is
The difference between deep learning and machine learning
What TensorFlow is
How to install it on Windows and Mac
The basics of TensorFlow
About NumPy, Scikit Learn, and Pandas
About linear regression
Building an artificial neural network using TensorFlow
TensorFlow image classification
If you are already proficient at programming in Python and are ready to take the next step into machine learning, this guide is for you. Scroll up, hit that "Buy Now" button, and set off on a brand-new machine learning journey.