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#1 What is AI?
#2 What is Deep Learning?
#3 Supervised Learning
#4a Introduction to Linear Regression
#4b Machine Learning Math
#4c Gradient Descent
#4d Linear Regression w/ TensorFlow
#5 Logistic Regression
#6 Bayes’ Theorem
#7 Binary Cross-Entropy Loss
#8 Fully-Connected Neural Networks
#9 Optimization & Regularization
#10 Convolutional Neural Networks
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#1 What is AI?
#2 What is Deep Learning?
#3 Supervised Learning
#4a Introduction to Linear Regression
#4b Machine Learning Math
#4c Gradient Descent
#4d Linear Regression w/ TensorFlow
#5 Logistic Regression
#6 Bayes’ Theorem
#7 Binary Cross-Entropy Loss
#8 Fully-Connected Neural Networks
#9 Optimization & Regularization
#10 Convolutional Neural Networks
Logistic Regression
Let’s train a model that can classify an image as being of either a dog or cat!
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