This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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Updated
Sep 16, 2020 - Jupyter Notebook
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
📓 Notes for Andrew Ng's courses on deep learning
Implementation of a series of Neural Network architectures in TensorFow 2.0
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
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
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.
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.
Deep Learning for NLP Python Notebooks in PyTorch and TensorFlow
Jupyter notebooks for Chainer hands-on
Set of notebooks to practice Pytorch from basics to RNN
Notebooks pour le cours Deep Learning de zéro à la certification Tensorflow
Tutorial: Multi-layer Recurrent Neural Networks (LSTM, RNN) for text models in Python using TensorFlow.
A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.
A collection of some of my deep learning experiments on NLP.
A reference folder mapping some of my deep-learning repositories: RNN, GAN, DCGAN, seq2seq, Transfer learning, Autoencoders, Semi-supervised learning
Some useful examples of Deep Learning (.ipynb)
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