MLDL 104 – Introduction to Deep Learning

(Weeks 7–8 | Lecture 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Contact Hrs | 1.0 Semester
Credit)
Students will:

• Build deep neural networks from scratch using TensorFlow/Keras.
• Train models using backpropagation and advanced optimization techniques.
• Apply regularization methods such as dropout and batch normalization.
  Prerequisite: MLDL 103 – Unsupervised Learning & Clustering
  Tools: TensorFlow, Keras