Building and Optimization of Neural Networks from Scratch with NumPy
Data Science Conference via YouTube
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Free courses from frontend to fullstack and AI
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
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.
Syllabus
Building & Optimization of Neural Networks from Scratch with Numpy | M. Marjanovic | DSC Europe 23
Taught by
Data Science Conference