Day73 Deep Learning Lecture Review - Lecture 5
Transformers and Foundation Models: GELU, Layer Norm, Key Concepts & Workflow
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Day72 Deep Learning Lecture Review - Lecture 4
Brief Explanation of Basic Algebra and Machine Learning
Day71 DL Review - Natural Language Processing (NLP)
Primary Goals, Common Tasks, and Deep Learning NLP
Day70 DL Review - Transformer
Transformer Architecture, How the Models Are Different, and Q,K,V in Self-Attention
Day69 DL Review - Convolutional Neural Networks (CNNs)
Basic Concepts and the Detailed Architecture
Day68 Deep Learning Lecture Review - Lecture 3
Neural Net Zoo: Transformers, Recurrent Neural Networks (RNNs) and Graph Neural Networks (GNNs)
Day67 Deep Learning Lecture Review - Lecture 2-3
Types of Learning and Neural Net Zoo: Fully Connected Networks (MLPs), Inductive Bias, and Convolutional Neural Networks (CNNs)
Day66 Deep Learning Lecture Review - Lecture 1
Basic Mathematics, Supervised ML, and Review of Multi-Layered Perceptron
Day65 ML Review - Ensemble Method (4)
Bagging & Boosting : Basic Concepts & Code Implementation
Day64 ML Review - Ensemble Method (3)
Using the Majority Voting Principle to Make Predictions, and Evaluating & Tuning the Ensemble Classifier