Unit No. 4 Advanced Machine Learning
Advanced Machine Learning . 1. Deep Learning & Artificial Neural Networks At the heart of modern advanced AI is Deep Learning . Instead of using traditional statistical algorithms, deep learning uses Artificial Neural Networks (ANNs) inspired by the human brain. These networks consist of layers of interconnected "neurons" (nodes). The "deep" in deep learning refers to having many hidden layers between the input and output. DEEP NEURAL ARCHITECTURE Input Layer Hidden Layers (Deep) Output Layer CNNs (Convolutional Neural Networks): The undisputed kings of computer vision. They scan images using "filters" to recognize edges, shapes, and eventually complex objects like human faces or road signs. RNNs (Recurrent Neural Networks): Designed for sequential data. Unlike standard networks, RNNs have a "memory" of previous inputs, making them ideal for time-series forecasting and speech recognition. 2. Transformers & Large Language Models (LLMs...