Sorry I cant understand.I'm a student and new to use spyder. Can you tell me how can I update spyder 4 by Command Prompt or Anaconda command prompt? *Have a good day* *Thank you*
*Bhanupratap* On Sat, Dec 21, 2019 at 10:57 PM Vivek Katakam <[email protected]> wrote: > Hi All, > > I get getting the following message at the end of output after running my > mnist dataset program in the Spyder IDE: > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > *Init signature:Dense( units, activation=None, use_bias=True, > kernel_initializer='glorot_uniform', bias_initializer='zeros', > kernel_regularizer=None, bias_regularizer=None, > activity_regularizer=None, kernel_constraint=None, > bias_constraint=None, **kwargs,)Docstring: Just your regular > densely-connected NN layer.`Dense` implements the operation:`output = > activation(dot(input, kernel) + bias)`where `activation` is the > element-wise activation functionpassed as the `activation` argument, > `kernel` is a weights matrixcreated by the layer, and `bias` is a bias > vector created by the layer(only applicable if `use_bias` is `True`).Note: > if the input to the layer has a rank greater than 2, thenit is flattened > prior to the initial dot product with `kernel`.# Example```python # as > first layer in a sequential model: model = Sequential() > model.add(Dense(32, input_shape=(16,))) # now the model will take as > input arrays of shape (*, 16) # and output arrays of shape (*, 32) # > after the first layer, you don't need to specify # the size of the input > anymore: model.add(Dense(32))```# Arguments units: Positive integer, > dimensionality of the output space. activation: Activation function to > use (see [activations](../activations.md)). If you don't > specify anything, no activation is applied (ie. "linear" activation: > `a(x) = x`). use_bias: Boolean, whether the layer uses a bias vector. > kernel_initializer: Initializer for the `kernel` weights matrix (see > [initializers](../initializers.md)). bias_initializer: Initializer for > the bias vector (see [initializers](../initializers.md)). > kernel_regularizer: Regularizer function applied to the `kernel` > weights matrix (see [regularizer](../regularizers.md)). > bias_regularizer: Regularizer function applied to the bias vector > (see [regularizer](../regularizers.md)). activity_regularizer: > Regularizer function applied to the output of the layer (its > "activation"). (see [regularizer](../regularizers.md)). > kernel_constraint: Constraint function applied to the `kernel` > weights matrix (see [constraints](../constraints.md)). > bias_constraint: Constraint function applied to the bias vector (see > [constraints](../constraints.md)).# Input shape nD tensor with shape: > `(batch_size, ..., input_dim)`. The most common situation would be a > 2D input with shape `(batch_size, input_dim)`.# Output shape nD tensor > with shape: `(batch_size, ..., units)`. For instance, for a 2D input > with shape `(batch_size, input_dim)`, the output would have shape > `(batch_size, units)`.File: > c:\programdata\anaconda3\lib\site-packages\keras\layers\core.pyType: > typeSubclasses: * > > I did not choose any help topic. even though the above help message is > comming at the end of output. > Is this an error in the code or something to do with settings. > > Thanks and Regards, > Vivek > > -- > You received this message because you are subscribed to the Google Groups > "spyder" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/spyderlib/8840f0f7-7145-44ea-8566-56b27645f2cf%40googlegroups.com > <https://groups.google.com/d/msgid/spyderlib/8840f0f7-7145-44ea-8566-56b27645f2cf%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- You received this message because you are subscribed to the Google Groups "spyder" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/spyderlib/CAE1DkVVqKyohNLUc8Cghm7xoTmrz2Y0tDRSfBYmpseu3PimvTg%40mail.gmail.com.
