This article will take you through 20+ Deep Learning projects with Python programming language solved and explained for free.
Deep learning is a subset of Artificial Intelligence, which is an area that relies on learning and improving on its own by examining computer algorithms. While machine learning uses simpler concepts, these models work with artificial neural networks, designed to mimic the way humans think and learn.
All of the above projects are solved and explained properly. I hope you liked this article on Deep Learning Projects with Python programming language. Feel free to ask your valuable questions in the comments section below.
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Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.
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Python is one of the most popular programming languages currently. It looks like this trend is about to continue in 2021 and beyond. So, if you are a Python beginner, the best thing you can do is work on some real-time Python project ideas.
We, here at upGrad, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment. In this article, we will be exploring some interesting Python project ideas which beginners can work on to put their Python knowledge to test. In this article, you will find 42 top python project ideas for beginners to get hands-on experience on Python
Moreover, project-based learning helps improve student knowledge. That’s why all of the upGrad courses cover case studies and assignments based on real-life problems. This technique is ideally for, but not limited to, beginners in programming skills.
But first, let’s address the more pertinent question that must be lurking in your mind:
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Welcome to my blog, In this article, we will learn the top 20 most useful python modules or packages and these modules every Python developer should know.
Hello everybody and welcome back so in this article I’m going to be sharing with you 20 Python modules you need to know. Now I’ve split these python modules into four different categories to make little bit easier for us and the categories are:
Near the end of the article, I also share my personal favorite Python module so make sure you stay tuned to see what that is also make sure to share with me in the comments down below your favorite Python module.
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Learning Python can be difficult. You can spend time reading a textbook or watching videos, but then struggle to actually put what you’ve learned into practice. Or you might spend a ton of time learning syntax and get bored or lose motivation.
How can you increase your chances of success? By building Python projects. That way you’re learning by actually doing what you want to do!
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Deep Learning project for beginners – Taking you closer to your Data Science dream
Emojis or avatars are ways to indicate nonverbal cues. These cues have become an essential part of online chatting, product review, brand emotion, and many more. It also lead to increasing data science research dedicated to emoji-driven storytelling.
With advancements in computer vision and deep learning, it is now possible to detect human emotions from images. In this deep learning project, we will classify human facial expressions to filter and map corresponding emojis or avatars.
The FER2013 dataset ( facial expression recognition) consists of 48*48 pixel grayscale face images. The images are centered and occupy an equal amount of space. This dataset consist of facial emotions of following categories:
Download Dataset: Facial Expression Recognition Dataset
Before proceeding ahead, please download the source code: Emoji Creator Project Source Code
We will build a deep learning model to classify facial expressions from the images. Then we will map the classified emotion to an emoji or an avatar.
In the below steps will build a convolution neural network architecture and train the model on FER2013 dataset for Emotion recognition from images.
Download the dataset from the above link. Extract it in the data folder with separate train and test directories.
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