All convolutions inside a dense block are ReLU-activated and use batch normalization. Channel-smart concatenation is simply probable if the height and width dimensions of the data stay unchanged, so convolutions in a very dense block are all of stride 1. Pooling layers are inserted between dense blocks for even https://financefeeds.com/pump-ai-challenges-virtuals-focuses-on-solana-ai-agents-with-meteora/