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Applied Deep Learning 2022 - Lecture 2 - Neural Networks, Optimization and Backpropagation Channel : Alexander Pacha |
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Learn Deep Learning from IBM | Vanishing Gradients Channel : edX |
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Activation functions Channel : The AI & DS Channel |
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Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partia... Channel : ComputerVisionFoundation Videos |
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NLP206 How Simple Recurrent Neural Network Model works Channel : Fast Track School of Artificial Intelligence |
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Activation Function in Neural Network | Popular Types of Activation Function | Satyajit Pattnaik Channel : Satyajit Pattnaik |
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Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python) Channel : codebasics |
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Lecture 3: Neural Network (Forward Propagation) Part 1 Channel : Ahlad Kumar |
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Convolutional Neural Networks In 10 Minutes Channel : Machine Learning Interview |
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Introduction to Deep Learning Channel : Splunk & Machine Learning |
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Neural Networks Explained: Forward Propagation Channel : LearnEDU |
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Neural Networks Representation Model Representation II Channel : Misha Arain |
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Convolutional Neural Networks in 1 Minute Channel : Learning Labs |
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The explanation behind Convolutional Neural Networks - CNNs Explained | How CNN works? Channel : Satyajit Pattnaik |
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Multi layer backpropagation Channel : D Sumathi |
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What is Vanishing/Exploding Gradients Problem in NNs Channel : Mısra Turp |
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KMeans + Neural Network Classification (Python 3 + TensorFlow 2.0) Channel : PinoyStat |
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activation function in artificial neural network Channel : BSc ComputerScience |
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Introduction To Machine Learning | Machine Learning Basics 2021 | What Is Machine Learning? | NerdML Channel : NerdML |
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Introduction to Recurrent Neural Networks (RNNs) Channel : ML Forge |
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