As a developer with experience in introductory machine learning algorithms, you’re ready to dive deeper into the world of deep learning. But where do you start? With so many video courses out there, it can be overwhelming to find the right one that takes you from basics to advanced concepts.
That’s why I’ve curated a list of top deep learning video courses that have received rave reviews from learners like you. These courses are designed to take you on a journey from the fundamentals of deep learning to advanced topics, giving you a comprehensive understanding of this exciting field.
## 1. Andrew Ng’s Deep Learning Course on Coursera
This course is a great introduction to deep learning, covering the basics of neural networks, convolutional networks, and recurrent networks. Andrew Ng’s teaching style is engaging, and the course is well-structured, making it perfect for beginners.
## 2. Deep Learning A-Z on Udemy
This course is a more advanced course that covers a wide range of topics, from neural networks to transfer learning and object detection. The instructors are experienced and provide clear explanations, making it easy to follow along.
## 3. Stanford CS231n: Convolutional Neural Networks for Visual Recognition
This course is a graduate-level course that covers the basics of convolutional neural networks and their applications in computer vision. The lectures are delivered by Fei-Fei Li, the director of the Stanford AI Lab.
## 4. Deep Learning Specialization on edX
This specialization consists of five courses that cover the basics of deep learning, including neural networks, deep learning algorithms, and deep learning applications. The courses are taught by experts from Microsoft and the University of Toronto.
## 5. NVIDIA Deep Learning Institute
This institute offers a range of courses and certifications in deep learning, from introductory courses to advanced topics like GPU acceleration and deep learning for computer vision.
These courses have received high praise from learners and are a great starting point for anyone looking to dive deeper into deep learning. Remember, practice is key, so be sure to work on projects and exercises to reinforce your learning.
What’s your favorite deep learning course? Share your experience in the comments below!