Building and Optimization of Neural Networks from Scratch with NumPy

Learn to build neural network architectures from scratch in this comprehensive tech tutorial from Data Science Conference Europe 2023. Master the implementation of forward and backward propagation while exploring essential optimization techniques including gradient descent, weight initialization, and regularization. Gain hands-on experience constructing neural networks using only NumPy, developing a deep understanding of core principles without relying on deep learning frameworks. Through practical demonstrations, discover how to independently design, build, and optimize neural networks, establishing a solid foundation in neural network architecture and optimization techniques.