Deep Learning End Term PYQ | Sept 2025 AN | IITM BS Degree | Complete Solutions | #iitmadras #quiz2

Site - https://mauryahub.onrender.com/ PDF - https://drive.google.com/file/d/19XrN... 🎬 Special thanks to Rajat for editing and polishing this video so smoothly. Your effort and support made this walkthrough much better 🙌 This video provides a complete walkthrough of Deep Learning End Term PYQs with detailed explanations of both conceptual and numerical questions frequently asked in exams. 🔍 Topics Covered ✅ CNN Numericals Convolution operation step-by-step Finding all patches and feature maps ReLU activation and Max Pooling Computing output shapes and (\hat{y}) Backpropagation and gradient calculation Parameter counting in CNNs ✅ Transformer & Attention Mechanism Shapes of Q, K, and V matrices Multi-Head Attention explained clearly Attention output shape calculations Parameter count in Transformer attention Understanding (d_{model}), heads, (d_k), and (d_v) ✅ NLP Numericals PMI and PPMI calculations using natural log Co-occurrence matrix construction Context window based calculations Cross-Entropy loss in CBOW SVD applications in word embeddings Latent semantic similarity and dimensionality reduction ✅ Deep Learning Fundamentals Gradient flow intuition Loss function calculations Weight update logic Matrix shape tricks for exams Common PYQ solving shortcuts 🎯 Why This Video Is Helpful. Every question is explained in a Hinglish (Hindi + English) style to make concepts easy and intuitive. Each solution follows a structured exam-oriented approach: • Understanding the question • Identifying formulas and dimensions • Solving step-by-step with reasoning • Final answer + shortcut/trick for quick solving 📈 Learning Outcomes By the end of this video, you will: ✔ Build strong conceptual clarity in Deep Learning ✔ Improve numerical problem-solving accuracy ✔ Learn matrix-shape and parameter-count tricks ✔ Gain confidence for quizzes, PYQs, and End Term exams ✔ Develop a systematic approach to solving DL questions quickly #IITMBS #IITMadras #DeepLearning #Transformer #CNN #AttentionMechanism #CBOW #PMI #PPMI #WordEmbeddings #Backpropagation #GradientDescent #NeuralNetworks #MachineLearning #DeepLearningQuiz #IITMBSDegree #PYQ