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"Neural Networks: Deep Learning, Machine Learning, AI & NLP"-Ref.:Udemy.com
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" * Neural Networks in Deep Learning & Machine Learning: Algorithms, Artificial Intelligence (AI), NLP, GRU, LSTM & RNNs * What Will I Learn? * Types Of Neural Networks. * The Neural Network Architecture * Applications Of Neural Networks * Recurrent Neural Networks * Hopfield Network * Elman Networks And Jordan Networks * Long-Term And Short-Term Memory * Gated Recurring Unit * Application Of Recurrent Neural Networks * RNN With Python, Numpy, And Theano * Training Of Network With Theano And The GPU * Challenges And Solutions For Recurrent Neural Networks Training * Challenges Of Recurrent Neural Training * Solutions To Exploding And Vanishing Gradient * Xor Problem & Network * Perceptron Network * Multilayer Perceptron * Adaline (Adaptive Linear Neuron) * Propagation And Stochastic Gradient Descent * Backpropagation Networks Architecture * Stochastic Gradient Descent * SGD Implementation * Backpropagation Through Time (BPTT) * Implementation Of A Neural Network * Optical Character Recognition (OCR) * * Curriculum For This Course - Lectures * Introduction * Defining Neural Networks * History Of Neural Networks * Types Of Neural Networks * Neural Network Architecture * Applications Of Neural Networks * Recurrent Neural Networks * Recurrent Neural Networks Architecture * Hopfield Network * Hopfield Discrete Network * Elman Networks And Jordan Networks * Long-Term And Short-Term Memory * Gated Recurring Unit * Application Of Recurrent Neural Networks * Rnn With Python, Numpy, And Theano * Training Of Network With Theano And The GPU * Elman's Recurrent Neural Network * Evaluation * Challenges And Solutions For Recurrent Neural Networks Training * Challenges Of Recurrent Neural Training * Solutions To Exploding And Vanishing Gradient * XOr PROBLEM * XOR Network * Training of XOr problem * The problem XOr * Perceptron * Perceptron Network * Multilayer Perceptron * ADALINE (Adaptive Linear Neuron) * Propagation And Stochastic Gradient Descent * Backpropagation Networks Architecture * Stochastic Gradient Descent * SGD Implementation * Backpropagation through time (BPTT) * Implementation Of A Neural Network * Optical Character Recognition (OCR) * Definition of OCR * When and why OCR * Applications of OCR " - Ref.: Udemy.com 

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