This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

Neural networks are now applied across the spectrum of AI applications while deep learning is reserved for more specialized or advanced AI use cases.

As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on ...

This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...

By tapping into a decades-old mathematical principle, researchers are hoping that Kolmogorov-Arnold networks will facilitate scientific discovery.

As the world grapples with climate change and dwindling fossil fuel reserves, biodiesel emerges as a promising renewable ...

The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the ...

OneFlip is a Rowhammer-based attack that flips a single bit in neural network weights to stealthily backdoor AI systems.