Aug 30, 2018 · Finally, Keras expects the weight of each layer to be assigned sequentially in a list. model.set_weights([w1, b1, w2, b2]) That is all! We have a neural network that implements the XOR operation. We can offer all possible inputs to compute the truth table and validate our model. x = np.array([ [0, 0], [0, 1], [1, 0], [1, 1], ]) model.predict(x) “ Convolution neural networks” indicates that these are simply neural networks with some mathematical operation (generally matrix multiplication) in between their layers called convolution. It was proposed by Yann LeCun in 1998. It's one of the most popular uses in Image Classification. Convolution neural network can broadly be classified ... The calculation of derivatives are important for neural networks and the logistic function has a very nice derivative f’(x) = f(x)(1 - f(x)) Other sigmoid functions also used hyperbolic tangent arctangent The exact nature of the function has little effect on the abilities of the neural network Fundamentals Classes Design Results