deep-learning-notes🧠👨💻Deep Learning Specialization • Lecture Notes • Lab Assignments
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deep-learning-coursera-completeDeep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses
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lstm-electric-load-forecastElectric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
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Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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SpeakerDiarization RNN CNN LSTMSpeaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
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sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
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MLOps-Specialization-NotesNotes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
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coursera-machinelearningStanford University - Machine Learning by Andrew Ng
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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rnn2dCPU and GPU implementations of some 2D RNN layers
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coursera-ai-for-medicine-specializationProgramming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
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air writingOnline Hand Writing Recognition using BLSTM
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question-pairA siamese LSTM to detect sentence/question pairs.
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novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
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theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
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ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
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