What are some popular deep learning techniques?

What are some popular deep learning techniques?

Some popular deep learning techniques include Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).

Can you explain how CNNs work?

Sure! CNNs are designed to process data with a grid-like topology, such as images. They use convolutional layers to automatically learn spatial hierarchies of features.

What are the applications of RNNs?

RNNs are widely used in sequence prediction tasks, such as language modeling, speech recognition, and time series forecasting.

How do GANs generate new data?

GANs consist of two neural networks, a generator and a discriminator, that work against each other to create new, synthetic instances of data.

What are some challenges in training deep learning models?

Challenges include overfitting, the need for large datasets, and the requirement for significant computational resources.