All convolutions inside of a dense block are ReLU-activated and use batch normalization. Channel-sensible concatenation is barely probable if the peak and width Proportions of the information keep on being unchanged, so convolutions within a dense block are all of stride one. Pooling layers are inserted between dense blocks https://financefeeds.com/ig-group-acquires-freetrade-for-160-million/