recurrent-neural-networks

Popular collection of practical Python notebooks for machine learning, deep learning, time series, generative AI, and analytics.

Collection of Notebooks for Natural Language Processing with PyTorch

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

TensorFlow and Deep Learning Tutorials

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

Jupyter notebooks containing explanation of Machine Learning Algorithms

Notebooks containing examples for different DNN components

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

These are the notebook assignments from the deeplearning.ai Tensorflow course on coursera.

A series of notebooks to familiarize with some important data processing and analysis pipelines based on PyTorch

Deep Learning Projects using Convolutional, Recurrent, and Generative Adversarial Neural Networks.

Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.

Deep Learning Python Notebooks

this is the 3 project of the deep learning nanodegree program of udacity

Some DNN model optimization experiments and notebooks

Notebooks prepared while reading the Deep Learning book

This repository contains programming assignments for the Deep Learning Specialization by deeplearning.AI. It includes Jupyter Notebooks for exercises in neural networks, hyperparameter tuning, convolutional networks, and sequence models.

This repository contains Jupyter Notebook Files of some state of the art projects that I completed during my internship program in deeplearning.ai. The project files are divided into 5 main categories or respective courses that the deeplearning.ai provides.

An Ipython notebook, shows how I solved Tap30 Competition problem by kaggle using Recurrent neural networks.

In this notebook, I implemented a recurrent neural network (Long short-term memory) using PyTorch that performs sentiment analysis.