Inside TensorFlow: tfKeras (part 2)
This course provides an in-depth look at tf.Keras, a high-level API for building and training models in TensorFlow. It covers topics such as masking, dynamic layers, callbacks, losses and metrics, and use cases. It also explains how to build and train a successful model, and how to use loops for training and inference. ▼
ADVERTISEMENT
Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
This course is designed to help learners understand the fundamentals of TensorFlow and tfKeras. It covers topics such as masking, input compatibility, masks, dynamic layers, training inference, callbacks, losses metrics, use cases, building a successful model, and loops. Learners will gain a comprehensive understanding of the concepts and techniques needed to build and deploy models using TensorFlow and tfKeras.
Possible Development Paths include becoming a data scientist, machine learning engineer, or software engineer. Learners can also pursue further education in the field of artificial intelligence, deep learning, and computer vision.
Learning Suggestions for learners include taking courses in Python programming, machine learning, and deep learning. Learners should also familiarize themselves with the TensorFlow API and its various components. Additionally, learners should practice building models using TensorFlow and tfKeras to gain a better understanding of the concepts and techniques covered in this course.
Course Provider
Provider Youtube's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Inside TensorFlow: tfKeras (part 2)