Enroll Course: https://www.udemy.com/course/build-neural-networks-from-scratch-with-python-step-by-step/
Are you looking to truly understand the inner workings of neural networks without getting lost in a sea of pre-built libraries? Look no further than Udemy’s ‘Neural Networks In Python From Scratch. Build step by step!’ course, taught by the experienced Loek van den Ouweland.
Many courses promise a ‘from scratch’ approach, but quickly inundate you with complex code and external dependencies. This course, however, lives up to its name. It starts with a remarkably simple 4-line neural network and meticulously builds upon it, concept by concept. You’ll witness firsthand how a basic structure evolves into an AI capable of recognizing handwritten digits, all using plain Python.
Loek van den Ouweland, a senior software engineer with a wealth of experience (including creating Wunderlist for Windows and Microsoft To-do), guides you through essential concepts like feedforward, cost functions, backpropagation, hidden layers, linear regression, gradient descent, and matrix multiplication. The beauty of this course lies in its incremental approach. Each new topic is a direct continuation of the previous example, ensuring you grasp the fundamentals before moving on.
What sets this course apart is its commitment to building everything from the ground up. You won’t be relying on TensorFlow or PyTorch here. Instead, you’ll gain a deep, intuitive understanding of how these networks function, making you proficient in building them in any programming language, even without frameworks. You’ll learn how to fine-tune networks by experimenting with different cost functions and incorporating hidden layers.
While the course is a concise 3 hours of video content and doesn’t include exercises, the clarity of the explanations is consistently praised by students. Testimonials highlight its suitability for beginners with little prior knowledge, its direct approach to foundational concepts, and its clear, step-by-step development process without external packages.
After completing this course, you’ll not only understand core neural network concepts like backpropagation and gradient descent but also possess the practical ability to construct your own neural networks from scratch. This foundational knowledge empowers you to better configure and optimize your models. If you’re a developer eager to truly understand the mechanics of AI and build it from the ground up, this course is an exceptional starting point.
Enroll Course: https://www.udemy.com/course/build-neural-networks-from-scratch-with-python-step-by-step/