Time Series Analysis using LSTM for Wind Energy Prediction.
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May 18, 2018 - Jupyter Notebook
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long-short-term-memory-models
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The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
nlp machine-learning udacity deep-learning sentiment-analysis neural-network pytorch recurrent-neural-networks generative-adversarial-network style-transfer rnn nanodegree convolutional-networks convolutional-neural-networks transfer-learning gans udacity-nanodegree long-short-term-memory-models lstms
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Aug 23, 2022 - Jupyter Notebook
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
sentiment-analysis text-classification tensorflow lstm gru tensorflow-tutorials tensorflow-experiments low-level lstm-neural-networks sentiment-classification tensorflow-examples long-short-term-memory-models tensorflow-gpu text-classifier lstm-sentiment-analysis gated-recurrent-units amazon-reviews tensorflow-api gated-recurrent-unit lstm-sentiment-classification
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Sep 21, 2019 - Python
An image captioning based image retrieval model which can be used both via GUI and command line
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Dec 28, 2018 - Python
FloydHub porting of Pytorch time-sequence-prediction example
deep-learning pytorch lstm floydhub sequence-prediction pytorch-tutorial long-short-term-memory-models
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Oct 18, 2017 - Python
Time-series prediction with LSTNet in Apache MXNet Gluon
deep-learning time-series mxnet recurrent-neural-networks lstm lstm-model gluon long-short-term-memory-models time-series-prediction long-short-term-memory
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Jun 5, 2018 - Python
Deep Learning using Rectified Linear Units (ReLU)
classifier machine-learning deep-neural-networks computer-vision deep-learning tensorflow keras recurrent-neural-networks artificial-intelligence neural-networks supervised-learning classification artificial-neural-networks convolutional-neural-networks vgg16 keras-models keras-neural-networks keras-tensorflow long-short-term-memory-models multilayer-perceptron
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Aug 2, 2024 - Jupyter Notebook
学习 TensorFLow 线性&逻辑回归 多层感知机 神经网络 自编码 循环神经网络 优化记录
tensorflow linear-regression tensorboard logistic-regression convolutional-neural-networks long-short-term-memory-models
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May 28, 2019 - Python
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
machine-learning deep-neural-networks computer-vision deep-learning recurrent-neural-networks lstm rnn long-short-term-memory-models drowsy-driver-warning-system
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Dec 31, 2017 - Python
Baseline Python Scripts for Popular Kaggle Competitions
data-science machine-learning deep-learning recurrent-neural-networks kaggle gru convolutional-neural-networks keras-neural-networks long-short-term-memory-models baselines
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Aug 20, 2022 - Python
LSTM stock prediction and backtesting
finance machine-learning deep-learning statistical-analysis lstm stock-market stock-price-prediction algorithmic-trading data-augmentation stock-analysis long-short-term-memory-models
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Jan 11, 2020 - Jupyter Notebook
For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow
tensorflow recurrent-neural-networks rnn-tensorflow lstm-neural-networks long-short-term-memory-models
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Nov 12, 2018 - Python
Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.
nlp deep-learning tensorflow machine-translation chatbot word-embeddings language-modeling recurrent-neural-networks question-answering text-summarization image-classification image-captioning music-generation attention-mechanism seq2seq-model memory-networks long-short-term-memory-models gated-recurrent-units transformer-architecture natural-language-tasks
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Apr 24, 2020 - Jupyter Notebook
Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and R…
machine-learning deep-learning tensorflow word2vec recurrent-neural-networks lstm dropout regularization convolutional-networks stochastic-gradient-descent long-short-term-memory-models relus
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Dec 13, 2017 - Jupyter Notebook
Summaries and notes on recent Deep Learning literature
reinforcement-learning deep-learning tensorflow pytorch convolutional-neural-networks long-short-term-memory-models
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Oct 7, 2019
Generating the Simpsons TV scripts using RNNs and LSTMs. The scene is among homer simpson, moe szyslak, and barney gumble.
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Nov 10, 2022 - Jupyter Notebook
This contains RNN based word level quality estimation, and Part-of-Speech-Tagger
natural-language-processing deep-learning recurrent-neural-networks quality-estimation pos-tagger long-short-term-memory-models
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Jan 18, 2020 - Python
Using RNN/LSTM to classify spam/not spam
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Jun 28, 2017 - HTML
To investigate the various deep learning techniques available to solve selected cyber security related problems.
deep-neural-networks artificial-intelligence convolutional-neural-networks malware-analysis long-short-term-memory-models
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Nov 15, 2021 - Jupyter Notebook
Multi-layer Recurrent Neural Networks (LSTM,RNN) for character-level language models in Python using Tensorflow.
natural-language-processing deep-learning tensorflow recurrent-neural-networks char-rnn long-short-term-memory-models
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Oct 18, 2017 - Python
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