English
Description
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)
29 December 2020
29 December 2020
29 December 2020
29 December 2020
29 December 2020
29 December 2020
29 December 2020
29 December 2020
29 December 2020
29 December 2020
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