🎯
Focusing
Highlights
- Pro
Pinned Loading
-
-
-
Unsupervised-learning
Unsupervised-learning PublicLessons on unsupervised learning
Jupyter Notebook
-
An example of using Apache SparkML t...
An example of using Apache SparkML to train a convolutional neural network in parallel using the MNIST dataset, on IBM watson studio. Written for medium article: https://medium.com/@niloypurkait/how-to-train-your-neural-networks-in-parallel-with-keras-and-apache-spark-ea8a3f48cae6 1################################### Keras2DML: Parallely training neural network with SystemML#######################################
2import tensorflow as tf
3import keras
4from keras.models import Sequential
5from keras.layers import Input, Dense, Conv1D, Conv2D, MaxPooling2D, Dropout,Flatten
-
AIF360
AIF360 PublicForked from Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Python
-
Hands-On-Neural-Networks-with-Keras
Hands-On-Neural-Networks-with-Keras PublicForked from PacktPublishing/Hands-On-Neural-Networks-with-Keras
Hands-On Neural Networks with Keras, published by Packt
Jupyter Notebook
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.