gradient

问题 Following what is written here I was trying to get the computed gradient during the training using tf.keras , I've end up with the following callback function which is called during the fitting's phase: The used networks is a very standard one, fully connected and sequential. r = network.fit(x=trn.X,y=trn.Y,verbose=2,batch_size=50,epochs=50,callbacks=[reporter,]) def on_train_begin(self, logs={}): # Functions return weights of each layer self.layerweights = [] for lndx, l in enumerate(self

问题 I would like to fill a shape on a html5 canvas with a gradient created from several differents colors at different positions, like on this picture. Do you have any ideas on how I could do that? 回答1: Searching a little I have found this example from Mozilla Development Network function draw() { var ctx = document.getElementById('canvas').getContext('2d'); var radgrad = ctx.createRadialGradient(0,0,1,0,0,150); radgrad.addColorStop(0, '#A7D30C'); radgrad.addColorStop(1, 'rgba(1,159,98,0)'); var

问题 I'm plotting a collection of polygons (triangles) using matplotlib's Poly3DCollection. The triangles are between vertices with a color associated with them. I'm currently filling each triangle with a solid color determined by averaging the colors of the three vertices. The triangles are plotted to form a 3D surface mesh. I would like to fill the triangle with a gradient between all three vertices. The pixel color at a given point would ideally just be linearly interpolated based on the

问题 I'm plotting a collection of polygons (triangles) using matplotlib's Poly3DCollection. The triangles are between vertices with a color associated with them. I'm currently filling each triangle with a solid color determined by averaging the colors of the three vertices. The triangles are plotted to form a 3D surface mesh. I would like to fill the triangle with a gradient between all three vertices. The pixel color at a given point would ideally just be linearly interpolated based on the

问题 The TensorFlow documentation explains the function tf.gradients( ys, xs, grad_ys=None, name='gradients', colocate_gradients_with_ops=False, gate_gradients=False, aggregation_method=None, stop_gradients=None ) saying: [it] constructs symbolic derivatives of sum of ys w.r.t. x in xs. ys and xs are each a Tensor or a list of tensors. gradients() adds ops to the graph to output the derivatives of ys with respect to xs. ys: A Tensor or list of tensors to be differentiated I find it difficult to

问题 The TensorFlow documentation explains the function tf.gradients( ys, xs, grad_ys=None, name='gradients', colocate_gradients_with_ops=False, gate_gradients=False, aggregation_method=None, stop_gradients=None ) saying: [it] constructs symbolic derivatives of sum of ys w.r.t. x in xs. ys and xs are each a Tensor or a list of tensors. gradients() adds ops to the graph to output the derivatives of ys with respect to xs. ys: A Tensor or list of tensors to be differentiated I find it difficult to

问题 The TensorFlow documentation explains the function tf.gradients( ys, xs, grad_ys=None, name='gradients', colocate_gradients_with_ops=False, gate_gradients=False, aggregation_method=None, stop_gradients=None ) saying: [it] constructs symbolic derivatives of sum of ys w.r.t. x in xs. ys and xs are each a Tensor or a list of tensors. gradients() adds ops to the graph to output the derivatives of ys with respect to xs. ys: A Tensor or list of tensors to be differentiated I find it difficult to

问题 Basically I want to create of a halo effect for the image that fades to transparent. I have images of wounds (and their masks), with no background. I want to add a red gradient behind it, that way if I paste it on something it looks like the area surrounded the wound is irritated. image and mask ... Originally, I was making a radial (circle) gradient and pasted my transparent image on it, but this does not look good for my non circular images. image with circle gradient same image as above

问题 I have 2 line plots on the same figure, plotted from pandas dataframes. I want to fill between them with a gradient/colour map of sorts. I understand I can do this with a cmap, only it will not work for me (see code below). General example I found are filling between x axis and line, i do not want that and also i am interested in simplest solution possible for this as i am a begginer at this and complicated, though maybe better code will just make it more confusing honestly. Code for which

问题 I have 2 line plots on the same figure, plotted from pandas dataframes. I want to fill between them with a gradient/colour map of sorts. I understand I can do this with a cmap, only it will not work for me (see code below). General example I found are filling between x axis and line, i do not want that and also i am interested in simplest solution possible for this as i am a begginer at this and complicated, though maybe better code will just make it more confusing honestly. Code for which