Everyone interested in learning RNNs with real datasets in Data Science is welcome to join for free. In this course, you will work with Deep Neural Networks (Perceptron, Convolution, Bias, Activation, Loss, Back Propagation, Overfitting in DNNs, and more.)
Master Recurrent Neural Networks (RNNs), (Architecture of an RNN, Weight Sharing, Recurrent Connections, Exercises, Derivatives, Modern RNNs, and more).
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