#把这个路径用包装一下logdir=os.path.join("cnn_selu_callbacks")print(logdir)ifnotos.path.exists(logdir):   os.mkdir(logdir)output_model_file=os.path.join(lo...

树莓派安装TensorFlow2.0原创醉雨轩Y最后发布于2019-12-1102:57:36阅读数286收藏展开uname-auname-march 首先，用上面的命令查找Linux的系统版本是86，还是64然后，进入下面网址，选择合适的TensorFlow版本https://github.com/PINT...

图像分类数据集（Fashion-MNIST）tensorflow2.1AIHUBEI2020-06-1523:00:51110收藏分类专栏：深度学习版权图像分类数据集（Fashion-MNIST）xiaoyao动手学深度学习tensorflow2.1.0在介绍softmax回归的实现前先引入一个多类图像分类数据集。它将...

importtensorflowastffromtensorflowimportkerasfromkerasimportSequential,datasets,layers,optimizers,metricsdefpreprocess(x,y):"""数据处理函数"""x=tf.cast(x,dtype=tf.flo...

importnumpyasnpimportmatplotlib.pyplotaspltfrommpl_toolkits.mplot3dimportAxes3Ddefhimmeblau(x):return(x[0]**2+x[1]-11)**2+(x[0]+x[1]**2-7)**2x=np.arange(-6,6,0....

      ...

importtensorflowastfx=tf.constant(1.)w1=tf.constant(2.)b1=tf.constant(1.)w2=tf.constant(2.)b2=tf.constant(1.)withtf.GradientTape(persistent=True)astape:tape.wat...

importtensorflowastfx=tf.random.normal([2,4])w=tf.random.normal([4,3])b=tf.zeros([3])y=tf.constant([2,0])withtf.GradientTape()astape:tape.watch([w,b])#axis=1，表示...

    importtensorflowastfx=tf.random.normal([1,3])w=tf.ones([3,1])b=tf.ones([1])y=tf.constant([1])withtf.GradientTape()astape:tape.watch([w,b...

importtensorflowastfx=tf.random.normal([2,4])w=tf.random.normal([4,3])b=tf.zeros([3])y=tf.constant([2,0])withtf.GradientTape()astape:tape.watch([w,b])prob=tf.nn...

        importtensorflowastfa=tf.linspace(-10.,10.,10)awithtf.GradientTape()astape:tape.watch(a)y=tf.sigmoid(a)grads=tap...

  importtensorflowastfw=tf.constant(1.)x=tf.constant(2.)y=x*wwithtf.GradientTape()astape:tape.watch([w])y2=x*wgrad1=tape.gradient(y,[w])grad1withtf.Gr...

importtensorflowastfy=tf.constant([1,2,3,0,2])y=tf.one_hot(y,depth=4)#max_label=3种y=tf.cast(y,dtype=tf.float32)out=tf.random.normal([5,4])outloss1=tf.reduce_mea...

sigmoid  out'=sigmoid(out)#把输出值压缩在0-1importtensorflowastfa=tf.linspace(-6.,6,10)atf.sigmoid(a)x=tf.random.normal([1,28,28])*5tf.reduce_min(x),tf.reduc...

out=f(X@W+b)out=relut(X@W+b)    importtensorflowastfx=tf.random.normal([4,784])net=tf.keras.layers.Dense(512)out=net(x)out.shapenet.kernel.s...