Hyperopt-Keras-CNN-CIFAR-100
https://github.com/guillaume-chevalier/Hyperopt-Keras-CNN-CIFAR-100
Python106
6 years ago
Reviews
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Search similar apps
License
Other
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
Creator
Related apps
Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics
1633cc0-1.0
3 months ago
awesomeawesome-listcnn
HAR-stacked-residual-bidir-LSTMs
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we d
Python308apache-2.0
last year
bidirectional-lstm-cellshuman-activity-recognitionlstm
seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Networ
Jupyter Notebook1076apache-2.0
last year
pythonseq2seqtensorflow
SGNN-Self-Governing-Neural-Networks-Projection-Layer
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead
Jupyter Notebook23bsd-3-clause
last year
Smoothly-Blend-Image-Patches
Using a U-Net for image segmentation, blending predicted patches smoothly is a m
Python0mit
7 years ago
How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
Growing the code out of your notebooks - the right way.
521
last year
filtering-stft-and-laplace-transform
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier
Jupyter Notebook66mit
6 years ago
butterworthbutterworth-filterbutterworth-filtering
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors datase
Jupyter Notebook3256mit
last year
activity-recognitiondeep-learninghuman-activity-recognition