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Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders,...
Created
2019-04-24
45 commits to master branch, last one 4 years ago
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
Created
2020-04-12
52 commits to master branch, last one 8 months ago
Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
Created
2020-02-01
120 commits to master branch, last one 4 years ago
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NL...
nlp
rnn
gans
lstms
pytorch
udacity
nanodegree
deep-learning
neural-network
style-transfer
machine-learning
transfer-learning
sentiment-analysis
udacity-nanodegree
convolutional-networks
recurrent-neural-networks
convolutional-neural-networks
long-short-term-memory-models
generative-adversarial-network
Created
2019-10-12
114 commits to master branch, last one 4 years ago
This repository has no description...
Created
2023-10-19
152 commits to master branch, last one 27 days ago