Introduction to machine Learning with Tensorflow
About CourseMachine Learning Foundations is a free training course where you’ll learn the fundamentals of building machine-learned models using TensorFlow.
Topics for this course
You’ll learn the fundamentals of building machine-learned models using TensorFlow.
First steps in computer vision
Machine Learning Foundations is a free training course where you’ll learn the fundamentals of building machine learned models using TensorFlow.
Convolutions and pooling
In Episode 3 we’ll expand on our computer vision example from last time and introduce the concept of convolutions--what they are, and how they can be used in combination with pooling to help a computer understand the contents of an image.
Coding with Convolutional Neural Networks
In Episode 4 we’ll put convolutions and pooling to use and create our own convolutional neural networks!
Classifying real-world images
In Episode 5 we’ll look at how to use Convolutional Neural Networks to classify complex features, with a hands-on example to tackle a more challenging computer vision problem--classifying images of horses and humans!
Convolutional cats and dogs
In Episode 6 we’ll take what we learned about Convolutional Neural Networks in the previous few episodes and apply them to a computer vision scenario that was a Kaggle challenge not long ago--building a classifier for cats and dogs!
Image augmentation and overfitting
In Episode 7 we’ll look at how we can use image augmentation as a technique to artificially extend your datasets to provide new information for the training of your neural network. This can potentially help you with overfitting issues!
Tokenization for Natural Language Processing
In Episode 8 we’ll switch gears from computer vision and take a look at Natural Language Processing, beginning with tokenization--how a computer can represent language in a numeric format that can be used in training neural networks.
Using the Sequencing APIs
In Episode 9 we’ll take the next step in Natural Language Processing by turning sentences into sequences of tokens, and we’ll explore the tools that make this very simple to do in TensorFlow.
Using NLP to build a sarcasm classifier
In Episode 10, we’re going to put our knowledge of how to preprocess text data to use and train a text classifier to detect sarcasm in news headlines.