Key Components of Deep Learning | IABAC
Key components of deep learning include neural networks, large datasets, powerful computational resources (GPUs), backpropagation for training, activation functions, optimization algorithms (like SGD), and layers (input, hidden, and output) that enable models to learn complex patterns and features.
https://iabac.org/blog/fut...
Key components of deep learning include neural networks, large datasets, powerful computational resources (GPUs), backpropagation for training, activation functions, optimization algorithms (like SGD), and layers (input, hidden, and output) that enable models to learn complex patterns and features.
https://iabac.org/blog/fut...
07:45 AM - Feb 24, 2025 (UTC)
