The fastest path to Deep Learning from the number 1 online Deep Learning resource.
Getting started with Deep Learning is now easy with these short, step-by-step tutorials. This deep learning course is a specially curated course to provide you with everything to get started.
Inside this course, you will learn what is Deep Learning, various optimization algorithms and also how to train your first Deep Learning Model.
The best part?
You will be able to finish this course in a day!
Deep Learning Course will teach you all the fundamentals of Deep Learning from first principles to actually training your first model. You will learn via practical, hands-on projects (with lots of code), so you can not only develop your own models but feel confident while doing so.
Inside this course, we’ll use Colab Notebooks, a free interactive Python programming interface from Google.
You will have access to the following:
If any of these descriptions fit you ... this course is for you.
To receive the certificate, you will need to complete all lessons and quizzes associated with the course.
After completing all lessons/quizzes, you will receive your certificate and be able to embed it directly on your LinkedIn profile, thereby demonstrating your Deep Learning skills.
PyImageSearch graduates have gone on to:
PyImageSearch University is your chance to join them in computer vision and deep learning mastery.
3 Courses • 15 Classes • 4h 13m 15s Lectures
5 lessons, 0h 56m 35s
What is Deep Learning? (13:34)
Lesson Lesson assessment
Image Classification Basics (6:31)
The Deep Learning Classification Pipeline (5:11)
Your First Image Classifier: Using k-NN to Classify Images
Parameterized Learning and Neural Networks (11:19)
Final exam
4 lessons, 1h 13m 10s
Understanding and Implementing Gradient Descent (27:29)
Lesson Code download Pre-configured Jupyter Notebook Lesson assessment
Stochastic Gradient Descent (SGD) with Python (18:50)
Gradient Descent Algorithms and Variations (16:08)
Regularization Techniques (10:43)
Final exam
6 lessons, 2h 03m 30s
Introduction to Neural Networks (11:02)
Lesson Lesson assessment
Implementing the Perceptron Neural Network with Python (21:21)
Backpropagation from Scratch with Python (39:46)
Implementing Feedforward Neural Networks with Keras and TensorFlow (27:40)
The 4 Key Ingredients When Training Any Neural Network (14:25)
Understanding Weight Initialization for Neural Networks (9:16)
Final exam
PyImageSearch University is really the best Computer Visions "Masters" Degree that I wish I had when starting out. Being able to access all of Adrian's tutorials in a single indexed page and being able to start playing around with the code without going through the nightmare of setting up everything is just amazing. 10/10 would recommend.
Not going to kid you: PyImageSearch University is worth every cent. I get asked ALL the time at my talks how I got started. PyImageSearch was the foundation.
This is a fantastic, unique resource. Where else can you get such brilliant tuition in such a wide variety of computer vision topics for such a low monthly cost? Nowhere is the answer. Highly recommended.
At the age of 58, learning ML, Computer Vision and Python all in parallel with no prior programming background was a steep learning curve and without PyImageSearch this could not have been possible. PyImageSearch brought it all nicely together.
When I first undertook my current ongoing robotics project my goals were very modest. Then I discovered PyImageSearch and found that I could go light-years beyond what I thought myself capable of back then. Through Adrian's detailed and easy-to-follow tutorials, I have achieved functionality goals I wouldn't have dared dream of before. My understanding and implementation of Python, along with a number of computer vision and machine learning concepts puts me on a par with some of the best programmers I've worked with. I couldn't have achieved this level of satisfaction without Adrian and his organization, and I am very grateful.
As a CS professor, I scaffold experiences so that my students build confidence, comfort, and enjoyment across all of the "pixel-processing's realm." Adrian's Jupyter/Colab materials are both invaluable -- and far more valuable than their price!
The PyImageSearch tutorials have been the most to the point content I have seen. I have always been able to get straightforward solutions for most of my Computer Vision and Deep Learning problems that I face in my day-to-day work life. Courses like this is what helps people and industries around the world to make quick and efficient solutions to their problems in real time.
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A quick, easy course that will give you all the fundamentals of Deep Learning
Hands-on training with guided examples
Access to topics and tutorials on state-of-the-art research
Courses on essential deep learning topics such as MLP, Backpropogation and Image Classification
Certificate of Completion (after successfully passing the final exam)
Tutorials and downloadable resources
Pre-configured Jupyter Notebooks in Google Colab for all PyImageSearch Deep Learning tutorials
Run all code examples in your web browser — works on Windows, macOS, and Linux (no dev environment configuration required!)
Access to centralized code repos for all tutorials on Deep Learning inside PyImageSearch
Easy one-click downloads for code, datasets, pre-trained models, etc.
Access on mobile, laptop, desktop, etc.
This course is specially designed for anyone who is short on time but want to get familiar with the fundamentals of Deep Learning. Our team has curated the most detailed and comprehensive lessons from our huge gallery of deep learning courses and put them in this Deep Learning Course.The best part - it can be finished under a day!
We assume you have some prior programming experience (e.g. you know what a variable, function, loop, etc. are). You should have more skills than a novice, but certainly not an intermediate or advanced developer. As long as you understand basic programming logic flow you'll have no difficulty following this course
That depends on what your needs are. If you want to learn how to make computer vision apps and you don't need help with anything else, you can start with the Basic Bundle.If you are a true beginner, or if you want a career in programming, computer science, or machine learning, you will benefit most from our University Bundle, or Complete Mastery Bundle — where you can access even more courses, certificates, and projects to launch or level-up your programming career.
After your purchase, you will (1) receive an email receipt for your purchase, and (2) be able to access the course, code, datasets, etc., immediately.
It's okay if you are brand new to Deep Learning! This course makes no assumptions on your prior experience with computer vision, or deep learning. In fact, this course is designed for you!
We offer a 30-day Money-Back Guarantee on all orders. If you haven't learned Computer Vision for Mobile Apps after going through this course, then I don't want your money. Simply send us an email and ask for a refund up to 30 days after your purchase. With all the copies I've sold, I can count the number of refunds on one hand. My readers are satisfied, and I'm sure you will be too.
Everyone has the same amount of time in a day — we all have 24 hours to work, spend time with our families, sleep, and have fun. If you're interested in studying Deep Learning, I challenge you to make it your goal. Take the time to invest in yourself and your education by grabbing a copy of Deep Learning Course.
Ask yourself, how much time are you wasting because:
Deep Learning Course solves these problems so you can stop wasting your time and money following paths that only lead to failure — let us guide you to success!
If you have any other questions, please send me a message, and I'll get back to you ASAP.