How to Get Started With Generative Adversarial Networks (7-Day Mini-Course)

How to Get Started With Generative Adversarial Networks (7-Day Mini-Course)

Generative Adversarial Networks With Python Crash Course. Bring Generative Adversarial Networks to Your Project in 7 Days. Generative Adversarial Networks, or GANs for short, are a deep learning technique for training generative models. The study and application of GANs are only a few years old, yet the results achieved have been nothing short of remarkable. …

22 mentions: @KirkDBorne@ipfconline1@FelixEVargas@RABigdatajobs@mmmgaber@MindsDB@DecisionsSmart@rzembo
Date: 2019/07/10 19:00

Referring Tweets

@KirkDBorne How to Get Started With #GenerativeAdversarialNetworks (7-Day Mini-Course): t.co/T8IeNTwCPF by @TeachTheMachine —————— #GANs #BigData #DataScience #AI #MachineLearning #DeepLearning #NeuralNetworks t.co/yU9mvPP9Wp
@ipfconline1 How to Get Started With GAN (Generative Adversarial Networks) 👇 7-Day Mini-Course (with Python) t.co/hZVs4wcAv1 by @TeachTheMachine #AI #MachineLearning #DeepLearning #DataScience Cc @KirkDBorne @schmarzo @SpirosMargaris @antgrasso t.co/80DAcR49lB

Related Entries

Read more Train Neural Networks With Noise to Reduce Overfitting
0 users, 27 mentions 2018/12/12 17:10
Read more How to Develop a Stacking Ensemble for Deep Learning Neural Networks in Python With Keras
0 users, 28 mentions 2018/12/30 21:43
Read more How to Improve Performance With Transfer Learning for Deep Learning Neural Networks
0 users, 30 mentions 2019/02/07 18:00
Read more Adding Interpretability to Multiclass Text Classification models
0 users, 5 mentions 2019/11/08 00:00
Read more Predictive Model for the Phoneme Imbalanced Classification Dataset
0 users, 15 mentions 2020/03/03 18:00