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.

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

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

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

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.

The thesis not only showcases technical advancements but also underscores the importance of interpretability and scalability in agricultural AI solutions. Farmers and stakeholders are more likely to ...

Neural networks are usually trained with supervised learning. Deep learning uses neural networks that have a large number of “hidden” layers to identify features.

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