Episode 20: How to master optimisation in deep learning

Technology

Compressing deep learning models: distillation (Ep.104)

Pandemics and the risks of collecting data (Ep. 103)

Why average can get your predictions very wrong (ep. 102)

Activate deep learning neurons faster with Dynamic RELU (ep. 101)

WARNING!! Neural networks can memorize secrets (ep. 100)

Attacks to machine learning model: inferring ownership of training data (Ep. 99)

Don't be naive with data anonymization (Ep. 98)

Why sharing real data is dangerous (Ep. 97)

Building reproducible machine learning in production (Ep. 96)

Bridging the gap between data science and data engineering: metrics (Ep. 95)

A big welcome to Pryml: faster machine learning applications to production (Ep. 94)

It's cold outside. Let's speak about AI winter (Ep. 93)

The dark side of AI: bias in the machine (Ep. 92)

The dark side of AI: metadata and the death of privacy (Ep. 91)

The dark side of AI: recommend and manipulate (Ep. 90)

The dark side of AI: social media and the optimization of addiction (Ep. 89)

More powerful deep learning with transformers (Ep. 84) (Rebroadcast)

How to improve the stability of training a GAN (Ep. 88)

What if I train a neural network with random data? (with Stanisław Jastrzębski) (Ep. 87)

Deeplearning is easier when it is illustrated (with Jon Krohn) (Ep. 86)