## Combine output of one model with another

I am currently working on a model that predicts the category of a product given its description. The code looks something like this for the model deep_inputs = Input(shape=(maxlen,)) embedding_layer = …

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I am currently working on a model that predicts the category of a product given its description. The code looks something like this for the model deep_inputs = Input(shape=(maxlen,)) embedding_layer = …

Please bear with me. I’m new to CoreML and machine learning. I have a CoreML model that I was able to convert from a research paper implementation that used Caffe. It’s a CSRNet, the objective being …

I am trying to build a CNN for MNIST fashion, But not sure what is the issue here. I am getting thbis type error.. I have use Seuqential network,but MAxpooling and FLattena dn dense layers. But issue …

I am using Tensorflow to solve a regression problem with known dynamic components, that is, we are aware that the (singular) label at time t depends on some dynamic state of the environment, but this …

I want to train a Sequential Neural Net (NN) with Tensorflow. import tensorflow as tf bidding_nn = tf.keras.Sequential([ tf.keras.layers.Dense( units=128, activation=’elu’, …

I am trying to build a neural network in tensorflow 2.0. There I want to dropout the whole hidden layer with a probability not any single node with a certain probability. Can anyone please tell me how …

I tried to do a neural network that operates on MNIST data set. I was mostly following the pytorch.nn tutorial. As a result, i got a model that learns, but there’s something wrong with the process or …

I want to code up one time step in a LSTM. My focus is on understanding the functioning of the forget gate layer, input gate layer, candidate values, present and future cell states. Lets assume that …

I’m a programming enthusiast learning how to write an autoencoder from scratch. I’ve already tried making simple neural networks for linear regression problems and non-linear data classification, so I …

I’m trying to learn some PyTorch and am referencing this discussion here The author provides a minimum working piece of code that illustrates how you can use PyTorch to solve for an unknown linear …