Jan. 11, 2024, 8:37 a.m. | Niharika Singh

MarkTechPost www.marktechpost.com

Understanding how convolutional neural networks (CNNs) operate is essential in deep learning. However, implementing these networks, especially convolutions and gradient calculations, can be challenging. Many popular frameworks like TensorFlow and PyTorch exist, but their complex codebases make it difficult for newcomers to grasp the inner workings. Meet neograd, a newly released deep learning framework developed […]


The post Meet neograd: A Deep Learning Framework Created from Scratch Using Python and NumPy with Automatic Differentiation Capabilities appeared first on MarkTechPost.

ai shorts applications artificial intelligence capabilities cnns convolutional neural networks deep learning deep learning framework differentiation editors pick framework frameworks gradient networks neural networks numpy popular python pytorch staff tech news technology tensorflow understanding

More from www.marktechpost.com / MarkTechPost

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US