Python Image Recognition: Hands-On Artificial Intelligence Course
Learn artificial intelligence and Python image recognition + understand
how to use TensorFlow
Description
Python image recognition sounds exciting, right? However, it can also
seem a bit intimidating. There's no need to be scared! This tutorial will
teach you Python basics and how to use TensorFlow. Take this chance to
discover how to code in Python and learn TensorFlow linear regression then
apply these principles to automated Python image recognition.
Maximum Results in Minimal Time
Through this course, you'll master Python image recognition software and
learn with hands-on examples. That's right! This course interweaves theory
with practical examples to make your learning experience as immersive as
possible. You will learn to take full advantage of Artificial Intelligence
(AI) and start working smarter, not harder.
You can finish this
course in one afternoon. It is short but full of crucial information. The
whole tutorial is split into three sections. You'll start with Python image
recognition. After that, you'll move on to TensorFlow basics. The last section
will explain how to utilize the CIFAR-10 dataset to train machine learning and
computer vision algorithm. All of the information will be explained slowly and
steadily. And since it's all in short video lessons format, it will be easy to
follow and digest.
Image Recognition Model from Scratch
In the
Python image recognition section, you'll find video lectures showing you how
to download and install Python and PyCharm. After that, you'll learn Python
basics. You'll discover how basic types of variables work as well as how to
perform operations on numbers and strings. Then you'll move on to more complex
concepts like multi-value variables, controlling flow, functions, and
classes.
In the second part of this course, you'll learn TensorFlow
basics. Your tutor will explain what it is and how to set it up. You'll
discover what constant & operation nodes, placeholder nodes, and variable
nodes are as well as how to use and run them. In the end, you'll build a
functional linear regression model.
After you learn Python and how
to use TensorFlow, you'll move on to the last section of the course. This part
will explain how to install and import libraries using the CIFAR-10 dataset.
You'll discover how to display and play with CIFAR-10 images using PIL (Python
Imaging Library) as well as how to retrieve data from them. Eventually, using
all the knowledge you previously gained, you'll build a simple image
recognition model and a training data set. In the end, you'll test out the
model and see how it all works!
Fun to Use & Easy to Learn
It's
crucial to learn Python if you want to work with Artificial Intelligence (AI).
It's one of the most popular programming languages in the world. Python is
highly versatile and is known as a general-purpose language. It can be used to
program practically anything you want. Python is a brilliant choice for data
analysis, artificial intelligence, scientific computing and, backend web
development. You can also use Python to code games, productivity tools, and
desktop apps.
The good news is that Python is easy to learn. It is
a very high-level programming language which means that it reads like English.
Therefore, it's a perfect language to begin programming for a newbie. Python
was created to be easy to understand and exciting to use. Even the name is a
reference to an iconic British comedy group Monthy Python. Therefore, with the
right tutorials to guide you, learning and using Python will prove to be a fun
and engaging task.
Don't waste any more time. Kickstart your career
by learning Python and TensorFlow as well as creating a working image
recognition model. Enroll now!
Get This Course