Pinned Repositories
AP1400-1
AP14001
Deep-Learning-Specialization
https://www.coursera.org/specializations/deep-learning
Drop-out
Dropout is a technique where randomly selected neurons are ignored during training. They are “dropped-out” randomly. This means that their contribution to the activation of downstream neurons is temporally removed on the forward pass and any weight updates are not applied to the neuron on the backward pass.
Natural-Language-Processing-Specialization
https://www.coursera.org/specializations/natural-language-processing
Natural-Language-Processing-with-Attention-Models
https://www.coursera.org/learn/attention-models-in-nlp
Natural-Language-Processing-with-Probabilistic-Models
https://www.coursera.org/learn/probabilistic-models-in-nlp
PCA-KernelPCA
Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension.
Teaching-Assistant
AP1400-1
kiyan-rezaee's Repositories
kiyan-rezaee/Natural-Language-Processing-Specialization
https://www.coursera.org/specializations/natural-language-processing
kiyan-rezaee/Deep-Learning-Specialization
https://www.coursera.org/specializations/deep-learning
kiyan-rezaee/Drop-out
Dropout is a technique where randomly selected neurons are ignored during training. They are “dropped-out” randomly. This means that their contribution to the activation of downstream neurons is temporally removed on the forward pass and any weight updates are not applied to the neuron on the backward pass.
kiyan-rezaee/Natural-Language-Processing-with-Attention-Models
https://www.coursera.org/learn/attention-models-in-nlp
kiyan-rezaee/Natural-Language-Processing-with-Probabilistic-Models
https://www.coursera.org/learn/probabilistic-models-in-nlp
kiyan-rezaee/PCA-KernelPCA
Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension.
kiyan-rezaee/Meta-analysis
kiyan-rezaee/Teaching-Assistant
kiyan-rezaee/BERT-model
a brief overview of Transformers and BERT model
kiyan-rezaee/Cardiovascular-Disease-Classification
Cardiovascular disease (CVD) is a class of diseases that involve the heart or blood vessels. CVD includes coronary artery diseases (CAD) such as angina and myocardial infarction (commonly known as a heart attack). Other CVDs include stroke, heart failure, hypertensive heart disease, rheumatic heart disease, cardiomyopathy, abnormal heart rhythms, congenital heart disease, valvular heart disease, Carditis, aortic aneurysms, peripheral artery disease, thromboembolic disease, and venous thrombosis.
kiyan-rezaee/Comparative_study_COVID19
kiyan-rezaee/Convolutional-Neural-Network
https://www.coursera.org/learn/convolutional-neural-networks?specialization=deep-learning
kiyan-rezaee/Design-Science-in-Information-Systems-Research
These slides gives an overview of Design Science in Information Systems Research.
kiyan-rezaee/Improving-Deep-Neural-Networks-Hyperparameter-Tuning-Regularization-and-Optimization
https://www.coursera.org/learn/deep-neural-network
kiyan-rezaee/LSTM-and-GRU-on-cryptocurrency
What is crypto? A cryptocurrency is an encrypted data string that denotes a unit of currency. It is monitored and organized by a peer-to-peer network called a blockchain, which also serves as a secure ledger of transactions, e.g., buying, selling, and transferring.
kiyan-rezaee/Machine-learning
kiyan-rezaee/MNIST-CNN
kiyan-rezaee/MNIST_TF
kiyan-rezaee/Natural-Language-Processing-with-Classification-and-Vector-Spaces
https://www.coursera.org/learn/classification-vector-spaces-in-nlp
kiyan-rezaee/Natural-Language-Processing-with-Sequence-Models
https://www.coursera.org/learn/sequence-models-in-nlp
kiyan-rezaee/Neural-Networks-and-Deep-Learning
https://www.coursera.org/learn/neural-networks-deep-learning
kiyan-rezaee/Persian-News-Classification
kiyan-rezaee/Predicting-User-Intent-based-on-Search-Queries
an overview of Predicting User Intent based on Search Queries
kiyan-rezaee/ResNet-architecture
In this novel architecture, the input of each layer consists of the feature maps of all earlier layer, and its output is passed to each subsequent layer.
kiyan-rezaee/Sequence-model
https://www.coursera.org/learn/nlp-sequence-models
kiyan-rezaee/simple-RNN-on-Trigonometric-circle
kiyan-rezaee/Stock-market
What Is the Stock Market? The term stock market refers to several exchanges in which shares of publicly held companies are bought and sold. Such financial activities are conducted through formal exchanges and via over-the-counter (OTC) marketplaces that operate under a defined set of regulations. Both “stock market” and “stock exchange” are often used interchangeably. Traders in the stock market buy or sell shares on one or more of the stock exchanges that are part of the overall stock market.
kiyan-rezaee/Structuring-Machine-Learning-Projects
https://www.coursera.org/learn/machine-learning-projects
kiyan-rezaee/Teaching-C-plus-plus-Programming-Language
kiyan-rezaee/weather-prediction