Deep Learning Mathematical Foundation | Part 1 (Urdu/Hindi) скачать в хорошем качестве

Deep Learning Mathematical Foundation | Part 1 (Urdu/Hindi)

In this video, we build a strong mathematical foundation for Deep Learning by exploring core Linear Algebra concepts that are essential for understanding AI, Machine Learning, and Neural Networks. This lecture is designed from scratch and explained in Urdu/Hindi, making complex math concepts easy and intuitive for beginners and research students. 📌 Topics Covered in This Video ✔ Linear Algebra operations for Deep Learning ✔ Vectors, Tensors, and Metrics explained clearly ✔ Vector addition and vector multiplication ✔ Tensor operations and tensor concatenation ✔ Metric multiplication and cross-dimension operations ✔ Understanding dimensions and matrix interactions ✔ Role of weights in neural networks ✔ Predictions, noise, and latent representations ✔ Mathematical intuition behind AI/ML models These concepts are directly used in deep learning models, including CNNs, RNNs, and Transformers, and are critical for understanding how data flows inside neural networks. 👉SEE Also (Related Videos): 👉Deep Learning Course Overview | Complete Syllabus & Roadmap    • Deep Learning Course Overview | Complete S...   👉Deep Learning From Scratch | Instructor Introduction & Complete Course Overview    • Deep Learning From Scratch  | Instructor I...   🔹 Subscribe for more:    / @qrrwithusman