Neural Networks with Tensorflow
Neural Networks with Tensorflow
You're going to learn the most popular library to build networks and machine learning algorithms.
In this hands-on, practical course, you will be working your way through with Python, Tensorflow, and Jupyter notebooks.
What you will learn:
Basics of Tensorflow
Artificial Neurons
Feed Forward Neural Networks
Activations and Softmax Output
Gradient Descent
Backpropagation
Loss Function
MSE
Model Optimization
Cross-Entropy
Linear Regression
Logistic Regression
Convolutional Neural Networks (with examples)
Text and Sequence Data
Recurrent Neural Networks (with examples)
Neural Style Transfer (in progress)
A Primer
Url: View Details
What you will learn
- Building Neural Networks with Tensorflow
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Rating: 3.5
Level: Intermediate Level
Duration: 5 hours
Instructor: Cristi Zot
Courses By: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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