Bias can mean a bias neuron in a neuron network or bias as in the bias-variance tradeoff. Learn about both and how to combat overfitting in deep learning.
Learn how hyperparameters affect accuracy of neural networks, how to optimize them manually vs. automatically, and how to manage large-scale optimization.
Learn the basics of Long Short-Term Memory networks (LSTM)s, how the architecture of LSTMs allow them to solve tasks that traditional RNNs are unable to.
What are instance segmentation and instance segmentation deep learning networks? What is image segmentation and how it differs from semantic segmentation?
Understand the evolution of different types of activation functions in neural network and learn the pros and cons of linear, step, ReLU, PRLeLU, Softmax and Swish.
Learn how Zencity used the MissingLink deep learning platform to go from manually managing deep learning to full automation of resources and experiments.
TensorFlow lets you build CNN architectures with flexibility, but is challenging. Learn TensorFlow CNNs with a basic, intermediate, and advanced example.
Run deep learning experiments on hundreds of machines, on and off the cloud, manage huge data sets and gain unprecedented visibility into your experiments
