MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 78 lectures (10h 42m) | Size: 4.23 GB

Welcome to the Raspberry Pi Deep Learning From Ground Up course.


Build Artificial Intelligence Applications from Scratch on Raspberry Pi

Build Neural Networks from scratch without libraries

Master quantization methods for deploying Neural Networks on Raspberry Pi

Build a Deep Learning Applications for Image Classification on Raspberry Pi

Build a Deep Learning Applications for Object Recognition on Raspberry Pi

Raspberry Pi 3

We are going to embark on a very exciting journey together. We are going to learn how to build deep neural networks from scratch on our Raspberry Pi.

We shall b by learning the basics of deep learning with practical code showing each of the basic building blocks that end up making a giant deep neural network. All of this on our Raspberry, both training and inference.

As we b to deal with large datasets we shall start training our neural networks on our computers and then deploying the trained models on our Raspberry Pi. Due to the limited memory and processing power of Raspberry Pi we shall learn methods for quantizing our models before deploying them on our resource constrained Raspberry without compromising the accuracy of our models.

We shall also learn how to thoroughly take advantage of deep learning libraries such as Keras and Tensorflow .

By the end of this course you will be able to build neural networks from scratch without libraries, be able to master quantization methods for deploying neural networks on Raspberry Pi, be able to build deep learning applications for Image Classification, be able to build deep learning applications for object recognition, be able to use Keras and Tensorflow, and so much more.

If you are new to machine learning and deep learning, this course is for you. The course starts from the very basic building block of neural networks and teaches you how to build your own neural network using pure python code before we move on to see how to use readily available libraries.

If you already have some experience with deep learning and want to see how to deploy models on Raspberry Pi you can also join this course. This course gives an in-depth training on the design methodology that needs to be adopted in order to be to deploy models on resource constrained Raspberry Pi.

Sign up and lets start building some intelligent applications.

If you are new to machine learning and deep learning, this course is for you. The course starts from the very basic building block of neural network and teaches you how to build your own neural network using pure python code before we move on to see how to use readily available libraries.

If you already have some experience with deep learning and want to see how to deploy models on Raspberry Pi you can also join this course. The course gives in-depth train on the design methodology that needs to be adopted in order to be to deploy models on Raspberry Pi..

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