Deep Learning

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7 years ago 0 85
ReLU (Rectified Linear Unit) is a widely used activation function in a neural network which outputs zero if ...
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There are a lot of frameworks available to implement deep learning algorithms. You don't need to implement CNN, RNN, ...
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Gradient Descent is the widely used algorithm to optimize our neural networks in deep learning. There are a ...
7 years ago 0 109
Autoencoder is a special kind of neural network in which the output is nearly same as that of ...
7 years ago 0 114
There are mainly four activation functions (step, sigmoid, tanh and relu) used in neural networks in deep learning. ...
7 years ago 0 102
Deep Learning is considered as subset of Machine Learning. Both have a lot of similarities and differences. Lets ...
7 years ago 0 95
Perceptron is an artificial neuron and is the fundamental unit of a neural network in deep learning. It ...
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CNN (Convolutional Neural Network) is a feed-forward neural network as the information moves from one layer to the ...
7 years ago 0 96
TensorFlow library was developed by the Google Brain Team for complex numeric calculations (like numpy). It relies on ...
7 years ago 0 108
RNN stands for Recurrent Neural Network. It is a type of neural network which contains memory and best ...
7 years ago 0 90
I have created an online quiz on Machine Learning and Deep Learning. This quiz contains objective type questions ...

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