Deep Learning

DL is a specialized subset of ML that utilizes neural networks with many layers (hence "deep") to model complex patterns in large amounts of data. It is particularly effective for tasks such as image and speech recognition, natural language processing, and autonomous driving. DL models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), have demonstrated significant improvements in accuracy for various applications.

• Advanced Techniques: Explore deep learning models, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
• Specialized Modules: Study specific applications of DL in areas like image recognition, natural language processing, and autonomous systems.
• Hands-On Labs: Participate in labs that provide practical experience with DL algorithms and models.