Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Keras 응용(CNN, RNN, GAN, DNN, ETC...) 사용법 예시

Learn to code deep learning algorithms

Tensorflow 2.0 tutorials for RNN based architectures for textual problems

Character level recurrent neural networks for Sentiment Analysis

Unsupervised video summarization with deep(GAN) reinforcement learning

Multi-Agent Reinforcement Learning with Particle Env. (on going)

Sentiment Classifier using a bidirectional stacked RNN with LSTM/GRU cells for the Twitter sentiment analysis dataset

💉 Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

build a deep neural network that functions as part of an end-to-end machine translation pipeline; the completed pipeline accepts English text as input and returns the French translation.

RNN

🦠| Sentiment analysis on tweets about covid-19 vaccinations using Soft-max Regression, FNN, RNN and BERT-Base-uncased.

A third year project that revolves around classification of climbing routes using image processing and deep learning techniques

Design and training of bidirectional RNNs and Transformers to translate sentences from English to French.