Backpropagation in convolutional neural networks. A closer look at the concept of weights sharing in convolutional neural networks (CNNs) and an insight on how this affects the forward and backward propagation while computing the gradients during training.

This class will provide a solid introduction to the field of RL. Students will learn about the core challenges and approaches in the field, including general...

We propose an algorithm for meta-learning that is model-agnostic, in the sense that it is compatible with any model trained with gradient descent and applicable to a variety of different learning...

This paper considers meta-learning problems, where there is a distribution of tasks, and we would like to obtain an agent that performs well (i.e., learns quickly) when presented with a previously...

Welcome! If you’re looking for super cool Python tips and coding snippets to reuse, you’ve come to the right place. Discover the 30 hottest Python tips and tricks, perfect for coders at both basic and…

Bridging the gap between machine learning and neuroscience

Python best practices and tips that will make you code quickly and efficiently

Course Files for Complete Python 3 Bootcamp Course on Udemy - Pierian-Data/Complete-Python-3-Bootcamp