AI With Python – Deep Learning
Deep learning is subfield of machine learning. The deep learning model derives inspiration from structure of human brain. The human brain consists of billions of neurons that communicate through electrochemical signals and in DL, artificial neural networks are composed of nodes that are interconnected with weights.
Fundamentals of Deep Learning
The term “deep” in Deep Learning refers to the multiple layers (depth) of these networks, allowing them to learn intricate patterns and features from vast datasets. To understand basic neural network, we need to build a solid groundwork for mastering deep learning using the following fundamentals:
- Gradient Descent Algorithm
- Backpropagation
- Hyperparameters
- Loss Functions
Deep Learning Architecture
Deep learning architectures are structured neural network models designed to facilitate complex learning tasks by automatically identifying patterns and representations within data. Below are foundational structures in deep learning:
AI With Python Tutorial
In this AI with Python tutorial, you’ll explore the fundamental and advanced concepts of artificial intelligence (AI) using the Python programming language. Whether you’re a complete beginner or an experienced professional, this tutorial is tailored to meet your learning needs, offering a step-by-step approach to mastering AI techniques with Python.
From understanding basic concepts to exploring advanced algorithms and applications, this tutorial equips you with the essential skills and knowledge to dive into the exciting world of AI. Whether you’re looking your build your career in AI or enhance your existing skills, this tutorial provides a solid foundation for your AI journey.
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