Accelerate Your AI Journey: Dive Into Google's Machine Learning Essentials!
4.0(4)
30 learners
What you'll learn
Understand the basics of machine learning and its recent advancements
Learn to implement gradient descent in optimization processes
Explore logistic regression techniques for classification tasks
Gain insights into neural networks and backpropagation methods
Neural networks are machine learning models that can automatically learn nonlinear relationships in data.
In this Machine Learning Crash Course video, you'll learn the building blocks of neural network architectures—nodes, hidden layers, and activation functions—and how they're used to construct a model that represents nonlinearities.
Learn more about neural networks in Machine Learning Crash Course: https://goo.gle/3WWMyAB
#neural_networks #machine_learning #ml #activation_function #hidden_layer #node #neuron
Speaker: Kat Leung
Products Mentioned: Google AI
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
