Description:

Welcome to our deep learning lab manual exercises, where we embark on a journey through fundamental concepts essential for understanding and applying neural networks. Through hands-on exploration, you'll delve into the versatile world of tensors, crucial for data representation in deep learning frameworks like TensorFlow and PyTorch.

Within these exercises, you'll uncover the power of regression analysis, learning how to predict continuous outcomes from input variables. Additionally, you'll grasp the fundamentals of perceptron's, the building blocks of neural networks, and their role in binary classification tasks.

Furthermore, you'll tackle binary classification directly, mastering algorithms such as logistic regression and support vector machines. These exercises will empower you to discern patterns and make informed predictions from datasets with binary outcomes.

With a focus on practical application and theoretical understanding, these exercises are designed to equip you with the skills and knowledge necessary to navigate the complex landscape of deep learning. Let's dive in and explore together.