9 Best Deep learning Courses to Learn Online in 2022
Are you interested in learning Deep learning? Well, this is the right place for you, where you will find the best high-quality training and courses for Deep learning.
Our experts have reviewed a lot of courses and classes in order to pick this list of the Best Deep learning Online Training, Courses for 2022. These resources are great to enhance your Deep learning knowledge and skills and potentially earn a certification to boost your resume.
How We Pick the Best Online Courses to learn Deep learning in 2022
We explored the top tier Online training and courses platforms like Udemy, Coursera, LinkedIn Learning, Pluralsight, Udacity, and more to find out which:
* Courses are the most comprehensive.
* Courses and classes that are getting the most positive reviews and ratings.
* Courses that have the largest number of students.
We Also checked the course instructor’s experiences and reviews, course duration, and other criteria. Then, after careful examination, we came up with this top list of Deep learning courses online.
The following best online courses and trainings will help you to learn Deep learning from the best instructors in the field, this can be clearly seen from the student’s reviews.
The list contains both free and paid best Deep learning courses. some of them will provide you a completion certificate, which can be published on your LinkedIn profile and on your resume.
1- Deep Learning Specialization
2- Deep Learning A-Z™: Hands-On Artificial Neural Networks
There is no doubt about that. A game where intuition plays a key role is where AlphaGo beat the World champion at Go. The more complex the problems are, the more they need to be solved. Artificial intelligence is powered by Deep Learning because it can solve complex problems.
3- Machine Learning, Data Science and Deep Learning with Python
This course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry and prepare you for a move into this hot career path. Most of the topics include hands-on Python code examples you can use for reference and practice, as well as over 100 lectures and 15 hours of video. I have 9 years of experience at Amazon and I will guide you through what matters and what doesn’t.
4- Deep Learning Prerequisites: The Numpy Stack in Python (V2+)
5- Complete Guide to TensorFlow for Deep Learning with Python
In this course, we show you the latest techniques in deep learning, as well as a complete guide to using the framework as intended. This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy-to-reference slides and notes. We have a lot of exercises to test your new skills.
6- Data Science: Deep Learning and Neural Networks in Python
The materials for this course are free. We derive the very important training method called backpropagation using first principles when we extend the previous binary classification model to multiple classes. I show you how to code backpropagation in the slow way and the fast way. Next, we use a neural network.
7- Deep Learning
8- TensorFlow 2 for Deep Learning Specialization
9- Deep Learning: Image Recognition
This course will teach you how to build a deep neural network that can recognize objects in photographs. It is possible to adjust state-of-the-art deep neural networks to recognize new objects without retraining the network. Cloud-based image recognition can be used as an alternative to building your own systems. You can learn how to build and deploy your own image recognition system.