TensorFlow 101: Introduction to Deep Learning

TensorFlow 101: Introduction to Deep Learning

TensorFlow 101: Introduction to Deep Learning. With the help of this course you can Ready to build the future with Deep Neural Networks? Stand on the shoulder of TensorFlow and Keras for Machine Learning..

This course was created by Sefik Ilkin Serengil. It was rated 4.3 out of 5 by approx 1795 ratings. There are approx 71016 users enrolled with this course, so don’t wait to download yours now. This course also includes 3 hours on-demand video, Full lifetime access, Access on mobile and TV, Assignments & Certificate of Completion.

What Will You Learn?

  • You will be able to build deep learning models for different business domains in TensorFlow

  • You can distinguish classification and regression problems, apply supervised learning, and can develop solutions

  • You can also apply segmentation analysis through unsupervised learning and clustering

  • You can consume TensorFlow via Keras in easier way.

  • Finally, you will be informed about tuning machine learning models to produce more successful results

This course provides you to be able to build Deep Neural Networks models for different business domains with one of the most common machine learning library TensorFlow provided by Google AI team. The both concept of deep learning and its applications will be mentioned in this course. Also, we will focus on Keras. This course appeals to ones who interested in Machine Learning, Data Science and AI. Also, you don’t have to be attend any ML course before.

Rating:
4.8

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