TensorFlow 20 Crash Course
A Neural Network is a powerful tool for machine learning, and TensorFlow 2.0 Crash Course provides an introduction to its use. Participants learn how to load and look at data, create a model, use the model to make predictions, and classify text. An Embedding Layer is also discussed, allowing for more accurate text classification. With this course, participants gain the skills to use TensorFlow 2.0 to create and use Neural Networks. ▼
ADVERTISEMENT
Course Feature
Cost:
Free
Provider:
freeCodeCamp
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from freeCodeCamp platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Learners can learn from TensorFlow 20 Crash Course in the following areas:
1. Neural Networks: Learners can understand the fundamentals of neural networks, including how they are structured and how they can be used to make predictions.
2. Data Loading and Analysis: Learners can learn how to load and analyze data, as well as how to create a model to make predictions.
3. Text Classification: Learners can learn how to use text classification to make predictions, including how to use an embedding layer and how to train and save models.
4. Installing TensorFlow GPU on Linux: Learners can learn how to install TensorFlow GPU on Linux, allowing them to use the powerful GPU capabilities of their system.
Course Provider
Provider freeCodeCamp's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of TensorFlow 20 Crash Course