Tiêu đề Deep learning Important Questions.pdf ✅

Copyright @aajhub.in aajhub Student’s First Choice COPYRIGHT @AAJHUB.IN AAJHUB.IN-STUDENT’S FIRST CHOICE JNTUK Deep learning Important Questions Unit-1: 1. Overview of AI, ML, and DL • Example question: Comparison/Difference Between AI, ML, and DL? (frequently asked question) 2. Branches of Machine Learning • Example question: Explain the Four Branches of Machine Learning (Important Question) 3. Underfitting and Overfitting • Example question: Differences between Underfitting and Overfitting (or What is Underfitting or Overfitting?) 4. Decision Trees and Kernel Methods • Example question: Brief Introduction about Decision Trees (Explain about Kernel Methods) 5. Gradient Boosting Models & Machine Learning Models • Learn basic information, as it’s a backup option. In some cases, questions will be asked about these. Unit-2: 1. Artificial Neural Networks (ANN) • Example question: Give a Brief Introduction about ANN (very important topic in exams and real-time) 2. Back Propagation Networks (very important) • Example question: Describe/Explain Back Propagation Networks in Detail 3. Deep Networks (important) • Example question: Procedure to Train Deep Networks (In some cases, they will ask indirectly) 4. Additional Sub-topics • In Unit 2, most questions are asked indirectly, so try to learn their sub-topics, as it can help you. For this reason, try to learn about machine language or softmax type questions. Unit-3: 1. Binary and Multi-Class Classification (very important) • Frequently asked in exams, and sometimes indirectly 2. Setting Up a Deep Learning Workstation • Example question: Explain/How to Set Up a Deep Learning Workstation in Detail 3. Keras and its Features (very important) • Example question: Explain about Keras and its Features (sometimes asked indirectly) 4. Additional Topic • If you have enough time, learn about the "Anatomy of a Neural Network"