Published
Machine Learning Foundations is a free training course where you’ll learn the fundamentals of building machine learned models using TensorFlow.
In Episode 4 we’ll put convolutions and pooling to use and create our own convolutional neural networks!
Convolutions example → https://goo.gle/2yzBgd9
Exercise 3 → https://goo.gle/2xFQjBH
TensorFlow is Google’s end-to-end open source machine learning platform. For more videos about TensorFlow, subscribe to the TF YouTube channel → https://goo.gle/TensorFlow
Machine Learning Foundations playlist → https://goo.gle/ml-foundations
Subscribe to Google Developers → https://goo.gle/developers
In Episode 4 we’ll put convolutions and pooling to use and create our own convolutional neural networks!
Convolutions example → https://goo.gle/2yzBgd9
Exercise 3 → https://goo.gle/2xFQjBH
TensorFlow is Google’s end-to-end open source machine learning platform. For more videos about TensorFlow, subscribe to the TF YouTube channel → https://goo.gle/TensorFlow
Machine Learning Foundations playlist → https://goo.gle/ml-foundations
Subscribe to Google Developers → https://goo.gle/developers
- Category
- Project
Sign in or sign up to post comments.
Be the first to comment
Up Next
-
15:38
4.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser
-
07:49
Intro To Neural Networks
-
12:25
Machine Learning Foundations: Ep #7 - Image augmentation and overfitting
-
08:59
Machine Learning Foundations: Ep #8 - Tokenization for Natural Language Processing
-
11:22
Machine Learning Foundations: Ep #9 - Using the Sequencing APIs
-
20:08
Machine Learning Research & Interpreting Neural Networks
-
17:36
GTC 2015: Teaching Deep Neural Networks, Introducing DIGITS DevBox (part 6)
-
10:42
4.5.2: Multi-layer perceptrons - Deep neural networks for non linear data
-
15:34
Machine Learning Foundations: Ep #1 - What is ML?
-
12:05
Machine Learning Foundations: Ep #6 - Convolutional cats and dogs
-
11:37
Machine Learning Foundations: Ep #3 - Convolutions and pooling
-
15:23
4.7.2: Beyond perceptrons: Convolutional Neural Network (CNNs) - Implementation with TensorFlow.js
-
03:10
How Artificial Intelligence and Neural Networks Work
-
02:28
Machine Learning Crash Course: Neural Networks Backprop
-
03:22
Android Neural Networks API 1.3, Bazel 4.0, Go turns 11, and much more!
-
03:22
Android Neural Networks API 1.3, Bazel 4.0, Go turns 11, and much more!
-
16:58
Machine Learning Foundations: Ep #2 - First steps in computer vision
-
03:33
Spotlight: Migam (and neural networks) making life easier for the deaf community
-
05:04
Introduction to artificial ML neural networks
-
02:16
Machine Learning Crash Course: Neural Networks Intro
-
17:34
Machine Learning Foundations: Ep #5 - Classifying real-world images
-
17:48
Machine Learning Foundations: Ep #10 - Using NLP to build a sarcasm classifier
Loading...