Jupyter Notebook for a "Deep Learning with TensorFlow" recitation

Accompanying notebook for the Entailment with Tensorflow article.

Tutorial-LSTM: Project for testing LSTM time series forecasting. See notebooks for complete information

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

In this notebook, I've implement a model that uses an LSTM to generate music.

Neural Turing Machines (NTM) - PyTorch Implementation

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.

iPython notebooks for teaching and mishmash

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Cognitive Class Lab Notebooks

Collection of Notebooks for Natural Language Processing with PyTorch

Tutorial for developing a topic-specific autocomplete function for Jupyter notebooks based on PyTorch and Google Colaboratory.

Some useful examples of Deep Learning (.ipynb)

Notebooks to dive into NLP with recurrent neural network on real data from jigsaw toxic comment classification.

This repo contains all the notebooks mentioned in blog.

This Notebook Shows a Neural Image Captioning model using Merge Architecture in keras which generates captions for given image.

Training notebooks for the quickdraw dataset

A comprehensive tutorial in Pytorch

In this notebook, I'll construct a character-level LSTM with PyTorch. The network will train character by character on some text, then generate new text character by character. As an example, I will train on Anna Karenina. This model will be able to generate new text based on the text from the book!

Notebooks of programming assignments of Sequence Models course of deeplearning.ai on coursera in May-2020