Tensorflow for Beginners
Machine Learning and Artificial Intelligence is changing the world, allowing technologies to evolve to the next level. Its ideally the future of Technology, where your device understands your needs an...
- All levels
- English
Course Description
Machine Learning and Artificial Intelligence is changing the world, allowing technologies to evolve to the next level. Its ideally the future of Technology, where your device understands your needs and helps fulfill them to their best ability. TensorFlow plans a huge role in this future. What is TensorFlow? TensorFlow is an open-source library that is commonly used for data flow programming....
Machine Learning and Artificial Intelligence is changing the world, allowing technologies to evolve to the next level. Its ideally the future of Technology, where your device understands your needs and helps fulfill them to their best ability. TensorFlow plans a huge role in this future. What is TensorFlow? TensorFlow is an open-source library that is commonly used for data flow programming. However, it also includes a symbolic math library that can be used for machine learning applications and neural networking. Developed by the Google Brain team, TensorFlow is already playing a huge role in helping machines advance. This is why it is one of the most important technologies that people should definitely learn to advance their career. And thats why we have built an entire course around it. While other courses often just brush up on TensorFlow and their basics, they leave you either confused for wanting more. This is why we have designed a complete tutorial that shows you the ins and outs of TensorFlow, including the foundation, lifecycle, TensorBoard, and so much more.
What you’ll learn
- A detailed introduction into TensorFlow
- Familiarity with TensorFlow Foundation
- Machine Learning Lifecycle and TensorBoard
- Logistic Regression & Neural Networks Basics
- Single & Multiple Hidden Layer Neural Networks
- Convolutional Neural Networks
- Deep Learning
Covering Topics
Section 1 : Introduction
Section 2 : Tensorflow Foundations
Section 3 : ML lifecycle & TensorBoard
Section 4 : The Machine Learning Lifecycle & Using TensorBoard
Section 5 : Logistic Regression & NN Basics
Section 6 : Single & Multiple Hidden Layer NNs
Section 7 : Convolutional NNs
Section 8 : Deep Learning
Section 9 : Final Project
Curriculum
Frequently Asked Questions
This course includes
- Lectures 19
- Duration 4 Hour
- Language English
- Certificate No