From the course: Deep Learning with Python: Convolutional Neural Networks

Unlock this course with a free trial

Join today to access over 24,900 courses taught by industry experts.

Preparing to build a CNN in Python

Preparing to build a CNN in Python - Python Tutorial

From the course: Deep Learning with Python: Convolutional Neural Networks

Start my 1-month free trial Buy for my team

Preparing to build a CNN in Python

“

- [Instructor] In the next three videos, we are going to build a Convolutional Neural Network in Python using Keras. This video is the first of the three, and this video, our focus is going to be on pre-processing our data in preparation for modeling. For our example, we're going to be using the Cipher 10 dataset, which has 10 distinct categories. Before we begin, let's select a Kernel. So if you are not quite comfortable with deep learning and want to learn a little bit more about deep learning, I suggest that you review my LinkedIn Learning course called "Deep Learning with Python". In that course, I explain some of the foundational principles that underlie deep learning, including how neural networks work, how Keras intensive flow work. And we actually in that course go through the process of building a very basic deep neural network using Keras intensive flow. So in this example, we thus begin by importing the data that we are going to work with. As I said earlier, we're going to…

Contents