нейронные-сети

There was a problem I want to write a simple neural network in C++, but I ran into one problem, I need to multiply the mat ... "output: " + str(output)) return activation_function(output) == 1 print("result:" + str(predict(vodka, rain, friend)))

In graph theory, a clique of an undirected graph is a subset of its vertices, such that any two vertices of the subset are co ... puter network, another network, or even something that can be represented as a graph the need to search for this very clique?

How can I implement a regression neural network in Python? I recently started studying neural networks, and I ran into a prob ... t the direction of movement of the snake, for example, 0-to the left, 1-to the right. Accordingly, also for the Y coordinate.

There is such a code: from keras.models import Sequential from keras.layers import Dense import numpy from numpy import exp, ... (should be: 0, 1): For ReLU: accuracy: 50.00% [[0.9953842]] [[0]] For Sigmoid: accuracy: 100.00% [[0.13338517]] [[1]]

What do these concepts have in common and how do they differ? Do I understand correctly that with L1 regularization, some o ... not "fade" because of one feature? And L1 and L2 are the norm, are they just different options for calculating the distance?

The same Google has a neural network that can describe what is happening on it in the form of a phrase based on a photo. Question: are there any public services available/sites/programs/libraries that allow you to do this?

After all, even if the values of the activation function were in the values from -10 to 10, this would make the network more ... ble, as it seems to me. After all, the problem can't just be the lack of a suitable formula. Please explain what I'm missing.

I can't figure out how to convert images to the input of the convolutional network. For example, I want to recognize circles ... rk is trained on 100x100 pxs data: At the output, I want to recognize all the circles: The drawings are approximate.

Closed. It is impossible to give an objective answer to this question . Answers to it are not accepted at the moment. ... re simple examples in Python for "blonde with a teapot in her hands"? In general, I would be grateful to anyone who can help.

Is it possible to determine the dependencies between the inputs and outputs of a neural network in the form of some formula o ... possible in any way to simplify the calculations by defining the dependencies, to bring all this to the dependency equations?

I am writing my first GAN neural network in pytorch. During training, the error CUDA error: an illegal memory access was enco ... och: {epoch} Loss D.: {loss_discriminator}\n" + f"Epoch: {epoch} Loss G.: {generator_loss}")

You need to write a neural network in Python for multi-label classification without using third-party modules to create neural networks. I ask for any example, I did not find anything on the Internet myself. Thanks.

I ran into the following problem: when multiplying the input layer by the weights, I get a huge number(about 400 (2500 inputs ... actically equal to 0, and in the used yap is generally equal to 0, hence 1/1+0 == 1). A mistake? Where? Thank you in advance.

I need to predict the value of the column Close (stock price) with 3 inputs: Close, Open and Volume. Example of a dataset: ... 1)) predictions = model.predict(x_test) print(predictions) print('rmse:', np.sqrt(np.mean(((predictions - y_test) ** 2))))

There are several photos available. It is necessary to find among them those photos on which a sheet of paper with text is ca ... ava/Python, then it will be very useful. Here are 2 examples of the desired images and 1 example of an unsuitable image.

If the task is to recognize handwritten letters, which method/algorithm of machine learning is most relevant and gives more a ... s of the Russian alphabet. We need help in choosing the most optimal algorithm/method for recognizing handwritten characters.

Hello. The task is to develop a text classifier based on the style of speech (artistic, journalistic, etc.). It is necessary ... ate the source text into a vector of characteristics that the classifier will eventually work with. How can this be done?

Where can I find full-fledged examples of convolutional neural networks for C# without using third-party libraries?

There is a neural network that recognizes a good review of a movie or a bad one. How do I submit my own text to the network i ... ['accuracy']) hist = model.fit(x_train_tfidf,y_train1,validation_data = (x_test_tfidf,y_test ),epochs = 5,batch_size = 64)

I spent a couple of hours trying to figure out the example for php-ml. I don't understand what is happening in this example. ... to the example itself php-ml-examples/classification/languageDetection.php And the library https://github.com/php-ai/php-ml