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Akash SinghCNN Model for Time-Series AnalysisA CNN (Convolutional Neural Network) model for time series data is a type of neural network architecture commonly used for tasks involving…Feb 12
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Pål MachullaIf consciousness emerged from self-simulation for survival, could AI develop true self-awareness…In the ever-evolving landscape of artificial intelligence, we find ourselves grappling with questions that blur the lines between science…Aug 13Aug 13
Shaireen KhanVanishing gradient problemThe vanishing gradient problem is an issue that occurs when training deep neural networks, especially those with many layers, like…1d ago
Akash SinghCNN Model for Time-Series AnalysisA CNN (Convolutional Neural Network) model for time series data is a type of neural network architecture commonly used for tasks involving…Feb 12
Abhik DeyAlexNet: The Architecture That Changed AIThe convolutional neural network (CNN) architecture known as AlexNet created by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton.Aug 15
Pål MachullaIf consciousness emerged from self-simulation for survival, could AI develop true self-awareness…In the ever-evolving landscape of artificial intelligence, we find ourselves grappling with questions that blur the lines between science…Aug 13
Susan LiinTowards Data ScienceTime Series of Price Anomaly Detection with LSTMJohnson and Johnson, JNJ, Keras, Autoencoder, TensorflowSep 8, 20209
Sam AustinTransfer Learning in Deep Neural Networks: A Practical GuideHey there, AI enthusiasts and deep learning dabblers! Ready to unlock the secret to training powerful neural networks without breaking the…Aug 7
Aqeel AnwarinTowards Data ScienceDifference between Local Response Normalization and Batch NormalizationA short tutorial on different normalization techniques used in Deep Neural Networks.Jun 19, 201910
