Published
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
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
- Category
- Project
- Tags
- Google, developers
Sign in or sign up to post comments.
Be the first to comment
Up Next
-
07:06
Machine Learning Foundations: Ep #4 - Coding with Convolutional Neural Networks
-
03:25
Wide & Deep Learning with TensorFlow - Machine Learning
-
01:59
Machine Learning Crash Course: Generalization
-
03:33
Spotlight: Migam (and neural networks) making life easier for the deaf community
-
05:04
Introduction to artificial ML neural networks
-
01:55
Machine Learning Crash Course: Intro & What's New
-
03:22
Android Neural Networks API 1.3, Bazel 4.0, Go turns 11, and much more!
-
02:12
Machine Learning Crash Course: Gradient Descent
-
02:37
Machine Learning Crash Course: Embeddings
-
00:14
Machine Learning Crash Course: The Optimistic ReLU Function
-
17:36
GTC 2015: Teaching Deep Neural Networks, Introducing DIGITS DevBox (part 6)
-
20:08
Machine Learning Research & Interpreting Neural Networks
-
07:38
Intro to Feature Engineering with TensorFlow - Machine Learning Recipes #9
-
07:49
Intro To Neural Networks
-
03:25
Machine Learning Crash Course: Logistic Regression
-
03:22
Android Neural Networks API 1.3, Bazel 4.0, Go turns 11, and much more!
-
02:19
Machine Learning Crash Course: Classification
-
03:10
How Artificial Intelligence and Neural Networks Work
-
12:55
GTC 2014: Machine Learning Intro (part 3)
-
10:42
4.5.2: Multi-layer perceptrons - Deep neural networks for non linear data
-
01:29
Machine Learning Crash Course: Fairness
-
02:28
Machine Learning Crash Course: Neural Networks Backprop
Loading...