Convolutional Neural Networks (CNNs) are a cornerstone of modern AI. They excel at image recognition and computer vision tasks.
Key Concepts: Layers, Filters, Pooling, Activation Functions.
Deep Learning frameworks are crucial for building and training neural networks. TensorFlow and PyTorch are the most popular options.
Key Features: Neural Networks, Backpropagation, GPU Acceleration.
Object detection models are used to identify and locate objects in images and videos. YOLO and SSD are popular choices.
Applications: Self-driving cars, security systems, robotics.
NLP allows computers to understand and process human language. NLTK and SpaCy are popular libraries for NLP tasks.
Data analysis is essential for drawing insights from data. Pandas and NumPy are essential libraries for data manipulation and analysis.