deep learning

, it is rather easy to coach any model. And the training process is at all times done with the seemingly same method fit. So we get used to this concept that training any...

Automatic plant leaf detection is a remarkable innovation in computer vision and machine learning, enabling the identification of plant species by examining a photograph of the leaves. Deep learning is applied to extract meaningful...

For the reason that conception of AI, researchers have all the time held faith in scale — that general intelligence was an emergent property born out of size. If we just carry on adding...

— that he saw further only by standing on the shoulders of giants — captures a timeless truth about science. Every breakthrough rests on countless layers of prior progress, until someday … all...

how neural networks learned. Train them, watch the loss go down, save checkpoints every epoch. Standard workflow. Then I measured training dynamics at 5-step intervals as an alternative of epoch-level, and all the...

with my series of AI paper recommendations. My long-term followers might recall the 4 previous editions (, , , and ). I’ve been away from writing for quite a while, and I couldn’t...

, someone claims they’ve invented a revolutionary AI architecture. But if you see the identical mathematical pattern — selective amplification + normalization — emerge independently from gradient descent, evolution, and chemical reactions, you realize...

Welcome back to the Tiny Giant series — a series where I share what I learned about MobileNet architectures. Up to now two articles I covered MobileNetV1 and MobileNetV2. Take a look at references ...