definitialize_parameters_deep(layer_dims):"""Arguments:layer_dims -- python array (list) containing the dimensions of each layer in our networkReturns:parameters -- python dictionary containing your parameters "W1", "b1", ..., "WL", "bL":Wl -- weight matrix of shape (layer_dims[l], ...
model = ResNet18() # 使用默认的配置进行模型转换 quantize_qat(model, ema_fakequant_qconfig) #与 Float 模型完全一致的训练函数 train(model) QFloat → Q 并导出用于部署: from megengine.quantization.quantize import quantize # 使用fuse好的Module搭建的网络 model = ResNet18() # 执行模型转换 quantize...
model = models.Sequential() model.add(layers.Dense(64, activation='relu', input_shape=(10000, ))) model.add(layers.Dense(64, activation='relu')) model.add(layers.Dense(46, activation='softmax')) model.compile(optimizer='rmsprop', loss='categorical_crossentropy', metrics=['accuracy']) #...
Deep learning with Python 学习笔记(11) 总结 机器学习(machine learning)是人工智能的一个特殊子领域,其目标是仅靠观察训练数据来自动开发程序[即模型(model)]。将数据转换为程序的这个过程叫作学习(learning) 深度学习(deep learning)是机器学习的众多分支之一,它的模型是一长串几何函数,一个接一个地作用在数据...
model.add(layers.Flatten())model.add(layers.Dense(64,activation='relu'))model.add(layers.Dense(10,activation='softmax')) 因为是10分类,最后一层为10个神经元,激活函数为softmax。 最后的网络架构 代码语言:javascript 复制 >>>model.summary()Layer(type)Output Shape Param #===conv2d_1(Conv2D)(...
model.add(Dense(1, activation='sigmoid')) model.compile(optimizer='rmsprop', loss='binary_crossentropy', metrics=['acc']) model.summary() history = model.fit(x_train, y_train, epochs=10, batch_size=32, validation_split=0.2) acc = history.history['acc'] ...
Initial data: one entry per sample (in this example, a sample is a sentence, but it could be an entire document) '''samples=['The cat sat on the mat.','The dog ate my homework.']''' Builds an index of all tokens in the data ...
deep learning with python第二版 代码 deep learning with python 2,HiAll,thisisaseriesofblogsthatIintendtowriteabouthowtouseTensorFlow2.0fordeeplearning.大家好,我打算撰写一系列博客,介绍如何使用TensorFlow2.0进行深度学习。Inthisblog,Iwillgooverhowtoclassi
(generated_text)foriinrange(400):#从种子文本开始,生成400个字符sampled=np.zeros((1,maxlen,len(chars)))#种子文本one-hot编码fort,charinenumerate(generated_text):sampled[0,t,char_indices[char]]=1.preds=model.predict(sampled,verbose=0)[0]#下一个字符预测next_index=sample(preds,temperature)next...
Theano Theano在深度学习框架中是祖师级的存在。Theano基于Python语言开发的,是一个擅长处理多维数组的库...