Neural Networks For Your Dog

Neural Networks For Your Dog

Dive into a comprehensive 2-hour course on neural networks, designed to be accessible and engaging. Learn to code a neural network from scratch in Python, starting with the basics and progressing to more advanced concepts. Explore the MNIST dataset, understand perceptron models and learning algorithms, and delve into gradient descent and deep learning. Follow along with hands-on coding exercises, covering topics such as multiclass support, simple image processing, and stochastic gradient descent. Access the course code on GitHub and gain practical skills in implementing neural network architectures. By the end of this course, develop a solid foundation in neural network principles and their applications in machine learning.