Udemy - Neural Networks with Tensorflow

[LeeAndro]

Published 12/2020
Duration: 5 hours | 38 Lectures | Video: 1280x720, 44 KHz | 2.2 GB
Genre: eLearning | Language: English

You should know Python programming, have basic math knowledge, and basic concepts of machine learning before enrolling.

What you'll learn

Building Neural Networks with Tensorflow

Requirements

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)

Who this course is for:

You want to get into machine learning and artificial neural networks

You already work in ML/AI and need to learn Tensorflow

You are a student, know some coding, and want to get into machine learning



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