Concept Whitening in Neural Network and Deep Learning

What is Concept Whitening in Neural Network and Deep Learning is a short video to understand and explain the role of Concept Whitening in Neural Network and Deep Learning. This is created in a question-answer format and can be easily used as Machine Learning, Deep Learning, or Neural Network Interview question. https://youtu.be/ZOdAHT7ktF0 Concept Whitening in … Continue reading Concept Whitening in Neural Network and Deep Learning

Top 10 Types of Cross-Validation in Machine Learning

Top 10 Types of Cross-Validation in Machine Learning is a short video to discuss various types of cross-validation techniques in machine learning and how they are different. The following types of cross-validations are discussed in this video: Leave-one-out cross-validation 2. Leave-p-out cross-validation 3. K-fold cross-validation 4. Stratified k-fold cross-validation 5. Holdout Cross-Validation 6. Repeated Random Sub-sampling Cross-Validation 7. Exhaustive cross-validation 8. Non-exhaustive … Continue reading Top 10 Types of Cross-Validation in Machine Learning

Reduce Computational Complexity of Self Attention Transformers Deep Learning Models

Reduce the Computational Complexity of Self Attention Transformers Deep Learning Models is a short video to discuss what can be done to Reduce the Computational Complexity of Self Attention Transformers Deep Learning Models. It can also be used as a Machine Learning Interview Question. https://youtu.be/C37mGcCaP8Q Reduce Computational Complexity of Self Attention Transformers Happy Learning !!