Deep Learning
Deep Learning is a subset of machine learning that focuses on training artificial neural networks (ANNs) with multiple layers to learn from large volumes of data. These neural networks, inspired by the structure and function of the human brain, are composed of interconnected nodes called neurons. The term “deep” refers to the multiple layers in these networks, allowing them to learn hierarchical representations of data. Deep learning excels in tasks such as image recognition, natural language processing, and speech recognition, often outperforming traditional machine learning techniques.
Prerequisite for Deep Learning
Deep Learning with Python
- Python for Deep Learning
- Deep Learning Python Tutorial
- Deep Learning Python Projects
- Deep Learning Interview Questions
Deep Learning with R
- R for Deep Learning
- Deep Learning R Tutorial
- Deep Learning R Projects
What is AI ML DS and How To Get Started?
In this AI-ML-DS tutorial, you’ll find a wealth of resources designed to demystify these complex fields and empower you to develop practical skills and insights. Whether you’re just starting or looking to deepen your understanding, our tutorials cover everything from the basics of AI and ML algorithms to advanced data science techniques.
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