What is the best way to learn Deep Learning as a beginner?

Deep learning is gaining a lot of traction these days, and rightfully so. It’s attaining unparalleled levels of accuracy—to the point where deep learning computers can categorize photographs better than humans and defeat the top G.O. player in the world.

Where would you start if you want to apply deep learning technology for your project but have never done so before?

Should you invest time in deep learning models, or can you obtain the same outcomes using machine learning techniques? Is it better to develop a fresh neural network for image categorization or to use an existing pre-trained network? What framework should you choose for deep learning?
This brief eBook will walk you through the fundamentals. You’ll discover that deep learning is accessible to anyone—you don’t have to be an expert to get started.

Learn about the following topics to learn from the eBooks / online videos / online courses:
• Deep learning vs. machine learning
• Convolutional neural networks (CNNs) are a kind of neural network (CNNs)
• For picture identification and classification, a pre-trained network such as GoogLeNet can be used.
• You may practice deep learning for yourself using examples, courses, and tools.