不久前，我推出了我的首个产品——Siphon吸词，它旨在帮助英语学习者通过阅读来高效积累词汇量。这个产...
for iteration in range(training_iterations): #siphon the training data via the neuron output = self.think(training_inputs) #computing error rate for back-propagation error = training_outputs - output #performing weight adjustments adjustments = np.dot(training_inputs.T, error * self.sigmoid_deri...
for iteration in range(training_iterations): #siphon the training data via the neuron output = self.think(training_inputs) #computing error rate for back-propagation error = training_outputs - output #performing weight adjustments adju...
for iteration in range(training_iterations): #siphon the training data via the neuron output = self.think(training_inputs) #computing error rate for back-propagation error = training_outputs - output #performing weight adjustments adjustments = np.dot(training_inputs.T, error * self.sigmoid_deri...
(training_iterations):#siphon the training data via the neuronoutput =self.think(training_inputs)#computing error rate for back-propagationerror = training_outputs - output#performing weight adjustmentsadjustments = np.dot(training_inputs.T, error *self.sigmoid_derivative(output))self.synaptic_...
基于Siphon和MetPy获取探空数据并绘图:by:hzwjy bbs.06climate.com/forum.php?mod=viewthread&tid=89894 Python快速绘图(三维图绘制):by:Hua_Zhang bbs.06climate.com/forum.php?mod=viewthread&tid=94237 Python画南极地图-借花献佛:by:对方的凤飞飞
#siphon the training data via the neuron output = self.think(training_inputs) #computing error rate for back-propagation error = training_outputs - output #performing weight adjustments adjustments = np.dot(training_inputs.T, error * self.sigmoid_derivative(output)) ...
基于Siphon和MetPy获取探空数据并绘图:(by:hzwjy) http://bbs.06climate.com/forum.php?mod=viewthread&tid=89894 Python处理探空:(by:lovechang1314) http://bbs.06climate.com/forum.php?mod=viewthread&tid=52208 基于GSI读取bufr文件:(by:张__QI) ...
(training_iterations):#siphon the training data via the neuronoutput=self.think(training_inputs)#computing error rate for back-propagationerror=training_outputs-output#performing weight adjustmentsadjustments=np.dot(training_inputs.T,error*self.sigmoid_derivative(output))self.synaptic_weights+=adjustments...
from siphon.simplewebservice.wyoming import WyomingUpperAir from concurrent.futures import ThreadPoolExecutor, wait, ALL_COMPLETED, as_completed from mpi4py import MPI # 设置下载时段(这里是UTC时刻) start = datetime.datetime(1979, 1, 1, 0) ...