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Course Content
Module 1 – Introduction to TensorFlow
- HelloWorld with TensorFlow
- Linear Regression
- Nonlinear Regression
- Logistic Regression
- Activation Functions
Module 2 – Convolutional Neural Networks (CNN)
- CNN History
- Understanding CNNs
- CNN Application
- Module 3 – Recurrent Neural Networks (RNN)
Intro to RNN Model
- Long Short-Term Memory (LSTM)
- Recursive Neural Tensor Network Theory
- Recurrent Neural Network Model
Module 4 – Unsupervised Learning
- Applications of Unsupervised Learning
- Restricted Boltzmann Machine
- Collaborative Filtering with RBM
- Module 5 – Autoencoders
Introduction to Autoencoders and Applications
- Autoencoders
- Deep Belief Network
- GENERAL INFORMATION
- This TensorFlow course is free.
- This course if with Python language.
- It is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
- RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE
- Neural Network
- REQUIREMENTS
- Python programming
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