[29% Off] Deep Learning: Neural Networks In Javascript From Scratch
How to build an Artificial Neural network Model from scratch using only vanilla Javascript (No libraries) – Free Course
What you’ll learn
- How to implement a Artificial Deep Neural Network from scratch
- How back-propagation algorithm works
- How to train an Artificial Deep Leaning model in the browser using Javascript
- Convolutional Neural Network Architectures
- How to build a handwritten digit recogniser model
Requirements
- Basic Javascript knowledge
- No Deep Learning experience needed. You will learn everything you need to know
Description
This course will teach how to build and train an Artificial Neural Network from scratch using only Javascript(No library). We will use only an IDEA and a browser.It is structured to help you genuinely learn Deep Learning by starting from the basics until advanced concepts. We will learn and code every component of a Deep learning architecture from scratch, uncovering all the magic behind Artificial Neural Networks.
To prepare the students for real life, we will develop our ANN framework following the TensorFlow API, and we will compare our implementation with Tensorflow.js, this way you will know what is under the hood of the Deep learning libraries.
In this course, we will create a handwritten digit recognizer model using three different model approaches:
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Fully Connected Neural Network – Vanilla Artificial Neural Network
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Fully Connected Neural Network (also known as a DenseNet) Using TensorFlow.js
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Convolutional Neural Network(also known as a ConvNet or CNN) Using TensorFlow.js
By following this course until the end, you will get insights and feel empowered to dive deep into the Deep Learning field to improve the experience of your projects.
Author(s): Alexsandro Souza
