Deep Learning From Scratch with Python by Mir Hossain (.ePUB)+
File Size: 11.5 MB
Deep Learning From Scratch with Python: Build Neural Networks Step by Step Without Black Boxes by Mir Hossain
Requirements: .ePUB, .PDF reader, 11.5 MB
Overview: Stop treating Deep Learning as a black box. Learn how modern neural networks actually work by building them yourself from the ground up using only Python, NumPy, and core mathematics. Deep Learning From Scratch with Python is a hands-on guide designed for students, software developers, data scientists, engineers, and AI enthusiasts who want to understand the foundations of Deep Learning instead of relying solely on high-level frameworks. Rather than hiding the underlying mechanics behind libraries, this book walks you through every major component of a neural network—from a single artificial neuron to convolutional neural networks, recurrent networks, LSTMs, transformers, and modern Deep Learning architectures. Every concept is explained step by step with clear illustrations, practical examples, and fully worked code. By the end of the book, you will understand not only how to use Deep Learning models but also why they work. This book is written for beginners in AI and Machine Learning, Computer Science and Data Science students, Python programmers, engineers moving into AI, and self-learners who want to understand Deep Learning from first principles. You need basic Python and high-school algebra. The calculus you need is reviewed in Chapter 4. No prior framework experience is assumed.
Genre: Non-Fiction > Tech & Devices
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