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Neural Network News на TikTok

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Application of neural networks and neuro-fuzzy models in construction scheduling | RTCL.TV

Application of neural networks and neuro-fuzzy models in construction scheduling | RTCL.TV

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AI • Machine Learning • Tech on Instagram: "In a feedforward neural network (also known as an MLP), neurons are arranged in layers where each neuron receives inputs from the previous layer, multiplies them by corresponding weights, adds a bias term, and applies an activation function to produce its output. This process continues layer by layer until the final output is produced. When an example is passed through the network, the output is compared to the target value, and the difference is calcu

AI • Machine Learning • Tech on Instagram: "In a feedforward neural network (also known as an MLP), neurons are arranged in layers where each neuron receives inputs from the previous layer, multiplies them by corresponding weights, adds a bias term, and applies an activation function to produce its output. This process continues layer by layer until the final output is produced. When an example is passed through the network, the output is compared to the target value, and the difference is calcu

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‎ابوالفضل چنبری‎ on Instagram: "An example of how artificial neural networks work to process visual data #ai"

‎ابوالفضل چنبری‎ on Instagram: "An example of how artificial neural networks work to process visual data #ai"

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AI | Machine Learning | Tech on Instagram: "Neural networks learn 3D surfaces from sampled points by mapping input coordinates (typically 3D spatial locations) to output values that represent surface properties, when plotted, creates the surface. Like any other neural network, it tweaks and tunes its parameters during training to minimize the error between its predictions and the known values at the sampled points. Over time, the network shapes a surface that matches the geometry of the target s

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The AI Web on Instagram: "One of the key technologies behind this capability is the Convolutional Neural Network (CNN), a fundamental architecture in deep learning for computer vision. CNNs mimic the way our brains process visual input, making them highly effective at tasks like object detection and image classification. ➡️ Convolutional Layers act like scanning lenses, identifying patterns such as edges or textures in small image sections ➡️ Pooling Layers compress these feature maps to highlig

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AI • Machine Learning • Tech on Instagram: "When a neural network learns, it’s like it’s drawing a line or boundary in space that separates different classes of data. For instance, we have data points with 3 different cities: Madrid, Paris, and Berlin. This boundary, in 3D space, acts as a plane that separates each class from each other. At first, the network might not have a very accurate boundary. But as the network learns from examples, it adjusts this boundary to better separate the classes

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Artificial Intelligence | AI on Instagram: "A neural network “learns” by adjusting its parameters (weights and biases) by increasing or decreasing them numerically so that the network can make increasingly more accurate predictions. The output is compared to the actual target values using a loss function, which quantifies the prediction error. To minimize the error, the network performs backpropagation, an algorithm that computes the gradient (set of all partial derivatives) of the loss with res

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