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Build a deep neural network from scratch in Python
We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...
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Max Pooling in Convolutional Neural Network
In this video, we will understand what is Max Pooling in Convolutional Neural Network and why do we use it. Max Pooling in Convolutional Neural Network is an important part of the CNN Architecture, ...
A neural network? In my Game Boy? It's more likely than you think. This is a demonstration of neural network (NN) inference on a Game Boy. First, a small NN is trained on a modified version of the ...
With technological advancements and increasing user demands, human action recognition plays a pivotal role in the field of human-computer interaction. Among various sensing devices, WiFi equipment has ...
Abstract: Convolutional Neural Networks (CNNs), a specialized type of feed-forward deep neural network, are widely used for efficient and accurate image recognition, playing a crucial role in various ...
Lifelong learning has deeply underpinned the resilience of biological organisms respect to a constantly changing environment. This flexibility has allowed the evolution of parallel-distributed systems ...
Abstract: String recognition is one of the most important tasks in computer vision applications. Recently the combinations of convolutional neural network (CNN) and recurrent neural network (RNN) have ...
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