RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
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Updated
May 30, 2024 - Jupyter Notebook
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Implementation of a series of Neural Network architectures in TensorFow 2.0
Deep Learning for NLP Python Notebooks in PyTorch and TensorFlow
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
📓 Notes for Andrew Ng's courses on deep learning
Jupyter notebooks for Chainer hands-on
A collection of some of my deep learning experiments on NLP.
Collection of Notebooks for Natural Language Processing with PyTorch
A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems
Set of notebooks to practice Pytorch from basics to RNN
Tutorial: Multi-layer Recurrent Neural Networks (LSTM, RNN) for text models in Python using TensorFlow.
Notebooks pour le cours Deep Learning de zéro à la certification Tensorflow
Some useful examples of Deep Learning (.ipynb)
Pytorch Tutorial Notebooks
Jupyter Notebook for a "Deep Learning with TensorFlow" recitation
Image Caption Generator implemented using Tensorflow and Keras in a Python Jupyter Notebook. The goal is to describe the content of an image by using a CNN and RNN.
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Deep attention fabric for artificial text and character generation
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