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Category: Introduction to Deep Learning

Lecture 12 Recurrent Networks (1/5)

June 20 · 20

Introduction to Deep Learning, Machine Learning
Lecture 11 Convolutional Neural Networks (3/3)

May 25 · 20

Introduction to Deep Learning, Machine Learning
Lecture 10 Convolutional Neural Networks (2/3)

May 24 · 20

Introduction to Deep Learning, Machine Learning
Lecture 9 Convolutional Neural Networks (1/3)

May 24 · 20

Introduction to Deep Learning, Machine Learning
Lecture 8 Batch Normalization, Dropout and other Regularization methods

May 24 · 20

Introduction to Deep Learning, Machine Learning
Lecture 7 Acceleration, Regularization and Normalization

May 18 · 20

Introduction to Deep Learning, Machine Learning
Lecture 6 Convergence, Loss Surfaces, and Optimization

April 7 · 20

Introduction to Deep Learning, Machine Learning
Lecture 5 Convergence, Learning Rates, and Gradient Descent

March 25 · 20

Introduction to Deep Learning, Machine Learning
Lecture 4 Learning the network: Backprop

March 23 · 20

Introduction to Deep Learning, Machine Learning
Lecture 3 Learning, Empirical Risk Minimization, and Optimization

January 11 · 20

Introduction to Deep Learning, Machine Learning
Lecture 2 The Universal Approximation Theorem

January 9 · 20

Introduction to Deep Learning, Machine Learning
Lecture 1 The Perceptron

January 8 · 20

Introduction to Deep Learning, Machine Learning