Neural Networks with Tensorflow
A Primer
- Description
- Curriculum
- FAQ
- Reviews
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)
In Progress
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1
Artificial Neurons -
2
Feed Forward Networks and Activations
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3
Softmax Output
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4
Gradient Descent
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5
Backpropagation
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6
Basics of TensorFlow - 1
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7
Basics of TensorFlow - 2
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8
Computational Graph, Ops, Sessions, Placeholders
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9
Loss Function, MSE, Cross Entropy
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10
Linear Regression
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11
Logistic Regression
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12
Handwriting Recognition with MNIST
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13
Convolutional Neural Networks - 1
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14
Convolutional Neural Networks - 2
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15
Convolutional Neural Networks - 3
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16
Convolutional Neural Networks - 4
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17
Convolutional Neural Networks - 5
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18
Convolutional Neural Networks - 6
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19
CNN and Cifar10 - 1
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20
CNN and Cifar10 - 2
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CNN and Cifar10 - 3
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22
CNN and Cifar10 - 4
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23
CNN and Cifar10 - 5
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24
Tactics to Improve the Model
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25
Text and Sequence Data - Intro
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26
Recurrent Neural Networks - 1
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27
Recurrent Neural Networks - 2
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28
Recurrent Neural Networks - 3
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29
Recurrent Neural Networks - 4
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30
Recurrent Neural Networks - 5
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31
Recurrent Neural Networks - 6
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32
Recurrent Neural Networks - 7
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33
Recurrent Neural Networks - 8
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course details
Video
5 hours
Certificate of Completion
Full lifetime access
Access on mobile and TV
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