“The secret of getting ahead is to get started.” – Mark Twain
Welcome to Deep Learning for Computer Vision with Python. This book is your guide to mastering deep learning applied to practical, real-world computer vision problems utilizing the Python programming language and the Keras + mxnet libraries. Inside this book, you’ll learn how to apply deep learning to take-on projects such as image classification, object detection, training networks on large-scale datasets, and much more.
Deep Learning for Computer Vision with Python strives to be the perfect balance between theory taught in a classroom/textbook and the actual hands-on knowledge you’ll need to be successful in the real world.
To accomplish this goal, you’ll learn in a practical, applied manner by training networks on your own custom datasets and even competing in challenging state-of-the-art image classification challenges and competitions. By the time you finish this book, you’ll be well equipped to apply deep learning to your own projects. And with enough practice, I have no doubt that you’ll be able to leverage your newly gained knowledge to find a job in the deep learning space, become a deep learning for computer vision consultant/contractor, or even start your own computer vision-based company that leverages deep learning.
So grab your highlighter. Find a comfortable spot. And let me help you on your journey to deep learning mastery. Remember the most important step is the first one – to simply get started.