Deeplearning: Convolutional Neural Network for Developers

person icon Alexsandro Souza

Deeplearning: Convolutional Neural Network for Developers

This course will teach you Deep learning focusing on Convolution Neural Networks architectures

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Alexsandro Souza

architecture icon Deep Learning,Development,Data Science


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Course Description

This course will teach you Deep learning focusing on Convolution Neural Net architectures. It is structured to help you genuinely learn Deep Learning by starting from the basics until advanced concepts. We will begin learning what it is under the hood of Deep learning frameworks like Tensorflow and Pytorch, then move to advanced Deep learning Architecture with Pytorch.

During our journey, we will also have projects exploring some critical concepts of Deep learning and computer vision, such as: what is an image; what are convolutions; how to implement a vanilla neural network; how back-propagation works; how to use transfer learning and more.

All examples are written in Python and Jupyter notebooks with tons of comments to help you to follow the implementation. Even if you don’t know Python well, you will be able to follow the code and learn from the examples.

The advanced part of this project will require GPU but don’t worry because those examples are ready to run on Google Colab with just one click, no setup is required, and it is free! You will only need to have a Google account. 

By following this course until the end, you will get insights, and you will feel empowered to leverage all recent innovations in the Deep Learning field to improve the experience of your projects.


What will you learn in this course:

  • Convolutional neural network architectures
  • Computer vision algorithims
  • How to implement a Deep Neural Network from scratch
  • How the back-propagation algorithm works
  • How to search similar images
  • How to build multi task models


What are the prerequisites for this course?

  • No Deep Learning experience is needed. You will learn everything you need to know
Deeplearning: Convolutional Neural Network for Developers


Check out the detailed breakdown of what’s inside the course

Course lessons
11 Lectures
  • play icon Introduction 05:27 05:27
  • play icon Working with Images and Numpy 06:09 06:09
  • play icon Image convolution with Numpy 06:55 06:55
  • play icon Building a Artificial Neural network from scratch 11:51 11:51
  • play icon Building a neural network from scratch - part 2 18:09 18:09
  • play icon Building a neural network with PyTorch 08:53 08:53
  • play icon Convolution Neural Network with PyTorch 26:50 26:50
  • play icon CNN and Autoencoder - image interpolation 19:01 19:01
  • play icon Image similarity - Image reverse search engine 09:39 09:39
  • play icon Multitasking model 34:34 34:34
  • play icon Playing with Generative Adversarial Networks(GAN) 22:14 22:14

Instructor Details

Alexsandro Souza

Alexsandro Souza

Team lead | Agile coach | Speaker | Active blogger | Opensource contributor | DevOps enthusiast | Computer vision practitioner

I am passionate about software development and Agile methods. I love solving team and company problems from a tactical and strategic point of view. I help teams and company to achieve more. Improving code, processes, flows, architecture, communication and human resources. I am very focused on delivering value to customers as faster and cheaper as possible, without giving up quality!

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