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Unlock the Power of AI with Python: A Practical Guide to Neural Networks
Dive into the world of artificial intelligence and machine learning with Neural Networks in Python: Fundamentals of AI and Machine Learning by I. V. Kulikova. This comprehensive guide offers a hands-on approach to understanding neural networks, from their architecture and principles to real-world applications.
The book covers essential libraries like NumPy, PyTorch, Matplotlib, SciPy, NetworkX, TensorFlow, OpenCV, Pandas, scikit-learn, and nltk, providing practical examples that demonstrate how neural networks function in practice. Mathematical foundations are explained with numerous equations and formulas implemented in Python, giving readers a scientific perspective on the origins of neural networks.
Beyond theory, the book explores practical AI applications, including image generation, video creation, text writing, and audio production. It includes references to real-world neural networks, helping readers deepen their skills and knowledge. Whether you’re a beginner or looking to expand your expertise, this resource is a valuable tool for mastering modern AI technologies.
