Hello everybody! For many who have no idea me but, my title is Francois, I’m a Analysis Scientist at Meta. I’ve a ardour for explaining superior AI ideas and making them extra accessible.
In the present day, let’s dive into some of the vital contribution within the area of Laptop Imaginative and prescient: the Imaginative and prescient Transformer (ViT).
This put up focuses on the state-of-the-art implementation of the Imaginative and prescient Transformer since its launch. To totally perceive how a ViT works, I strongly suggest studying my different put up on the theoretical foundations: The Ultimate Guide to Vision Transformers
Let’s begin with probably the most well-known constructing block of the Transformer Encoder: the Consideration Layer.
class Consideration(nn.Module):
def __init__(self, dim, heads=8, dim_head=64, dropout=0.):
tremendous().__init__()
inner_dim = dim_head * heads # Calculate the full interior…