This document introduces convolutional neural networks (CNNs). It discusses how CNNs extract features using filters and pooling to build up representations of images while reducing the number of parameters. The key operations of CNNs including convolution, nonlinear activation, pooling and fully connected layers are explained. Examples of CNN applications are provided. The evolution of CNNs is then reviewed, from LeNet and AlexNet to VGGNet, GoogleNet, and improvements like ReLU, dropout, and batch normalization that helped CNNs train better and go deeper.
http://mindpersuasion.com/kindle/
Learning is best done by copying. Not just external behaviors, but internal beliefs and memories. As well as practicing and journaling. Learn More: http://mindpersuasion.com/kindle/
This document introduces convolutional neural networks (CNNs). It discusses how CNNs extract features using filters and pooling to build up representations of images while reducing the number of parameters. The key operations of CNNs including convolution, nonlinear activation, pooling and fully connected layers are explained. Examples of CNN applications are provided. The evolution of CNNs is then reviewed, from LeNet and AlexNet to VGGNet, GoogleNet, and improvements like ReLU, dropout, and batch normalization that helped CNNs train better and go deeper.
http://mindpersuasion.com/kindle/
Learning is best done by copying. Not just external behaviors, but internal beliefs and memories. As well as practicing and journaling. Learn More: http://mindpersuasion.com/kindle/
When Step By Step Instructions Aren't EnoughGeorge Hutton
The document discusses how copying someone else exactly is difficult and will not yield the same results, as there are too many variables, especially when humans are involved. While simple tasks like baking a cake can be copied step-by-step, more complex skills like playing a musical instrument are impacted by individual beliefs, talents, and ideas. The key is to find your own unique contributions and maximize them through trial and error, rather than expecting perfection when copying others.
Este artigo estuda os efeitos dos transmissores de satélite em albatrozes e petréis, encontrando um aumento na taxa de abandono dos ninhos por aves equipadas com transmissores. A pesquisa monitorou vários parâmetros como a duração das viagens de forrageamento e o sucesso reprodutivo. Conclui-se que é importante minimizar os efeitos dos dispositivos para obter dados precisos sobre o comportamento natural destas aves.
Cupcakes may seem like an easier version of cake, but the truth is that baking cupcakes requires just as much precision and careful attention to detail as baking a full size cake.
41. 1. 在「What do you want to join to
this layer?」選擇「Join
attributes from a table」
2. 在「Choose the field in this 1.
layer that join will be based
on:」選擇「農情代碼」 2.
3. 在「Choose the table to join to
this layer, or load the table 3.
from」選擇「工作表1$」(亦即甘
藷excel表) 4.
4. 在「Choose the field in the 5.
table to base the join on:」選
擇「縣市鄉鎮名稱」
5. 在「Join Options」選擇「Keep
all records」
6. 點選「OK」
6.