9 Exciting Deep Learning Project Ideas for Beginners in 2021

Editorial Team
9 Exciting Deep Learning Project Ideas for Beginners in 2020

Deep Learning Project Ideas

Although a brand new technological advancement, the scope of Deep Learning is increasing exponentially. Deep Learning technology goals to imitate the biological neural network, that’s, of the human mind. Whereas the origins of Deep Learning dates back to the 1950s, it’s only with the development and adoption of Artificial Intelligence and Machine Learning that it got here to the limelight. So, in case you are an ML newbie, the perfect thing you are able to do is the figure on some Deep learning project concepts.

A subset of Machine Learning, Deep Learning leverages artificial neural networks organized hierarchically to carry out particular ML tasks. Deep Learning networks use the unsupervised learning method – they study from unstructured or unlabeled data. Artificial neural networks are identical to the human mind, with neuron nodes interconnected to type a web-like construction.

Whereas traditional learning models analyze data utilizing a linear strategy, the hierarchical function of Deep Learning methods is designed to process and analyze data in a nonlinear strategy.

Deep Learning architectures like deep neural networks, recurrent neural networks, and deep perception networks have discovered purposes in varied fields together with natural language processing, computer imaginative and prescient, bioinformatics, speech recognition, audio recognition, machine translation, social network filtering, drug design, and even board recreation programs. As new advances are being made on this domain, it’s serving to ML and Deep Learning specialists to design innovative and purposeful Deep Learning projects. The extra-deep learning project concepts you strive, the extra expertise you acquire.

Also Read: 6 Speech Processing Projects & Topics For Beginners & Experienced [2021] You must Know

Right now, we’ll talk about some superb Deep Learning projects which are serving to us attain new heights of feat.

So, listed here are just a few Deep Learning Project concepts which beginners can work on:

Deep Learning Project Ideas: Beginners Stage

This checklist of deep learning project ideas for college students is suited for beginners, and people simply beginning out with ML basically. These deep learning project ideas will get you going with all of the practicalities you want to reach your profession.

Additionally, when you’re looking for deep learning project concepts for the final yr, this checklist ought to get you going. So, without additional ado, let’s leap straight into some deep learning project concepts that will strengthen your base and let you climb up the ladder.

1. Face detection system

This is without doubt one of the wonderful deep learning undertaking concepts for newbies. With the advance of deep learning, facial recognition technology has additionally superior tremendously. Face recognition technology is a subset of Object Detection that focuses on observing the occasion of semantic objects. It’s designed to trace and visualize human faces inside digital pictures. 

On this deep learning undertaking, you’ll discover ways to carry out human face recognition in real-time. You must develop the model in Python and OpenCV. 

Also Read: Top 10 Artificial Intelligence Tools & Frameworks

2. Visual monitoring system

A visual monitoring system is designed to trace and find a shifting object(s) in a given timeframe by way of a camera. It’s a helpful tool that has quite a few purposes equivalent to security and surveillance, medical imaging, augmented actuality, traffic management, video modifying and communication, and human-computer interplay.

This technique makes use of a deep learning algorithm to research sequential video frames, after which it tracks the motion of target objects between the frames. The 2 core parts of this visible monitoring system are:

3. Image Classification with CIFAR-10 dataset

One of the best concepts to start out experimenting with your hands-on deep learning projects for college students is engaged in Image classification. CIFAR-10 is a big dataset containing over 60,000 (32×32 measurement) color images categorized into ten classes, whereby every class has 6,000 images. The coaching set accommodates 50,000 images, whereas the take a look at set accommodates 10,000 images. The coaching set will be divided into 5 separate sections, every having 10,000 images arranged randomly. As for the take a look at the set, it should embrace 1000 images that are randomly chosen from every one of the ten classes.

On this undertaking, you’ll develop an image classification system that can establish the category of an input image. Picture classification is a pivotal utility within the field of deep learning, and therefore, you’ll acquire data on varied deep learning ideas whereas engaged on this project.

Deep Learning Project Ideas: Intermediate Stage

Also Read: The 7 Types of Artificial Neural Networks ML Engineers Need to Know

4. Chatbot

On this undertaking, you’ll model a chatbot utilizing IBM Watson’s API. Watson is the prime instance of what AI can help us accomplish. The thought behind this undertaking is to harness Watson’s deep learning talents to create a chatbot that may interact with people identical to one other human being. Chatbots are supremely clever and can reply to human queries or requests in real-time. That is the rationale why a growing variety of firms throughout all domains are adopting chatbots of their buyer support infrastructure. 

This undertaking isn’t a really difficult one. All you want is to have Python 2/3 in your machine, a Bluemix account, and naturally, an energetic Internet connection! In case you want to scale it up a notch, you possibly can go to Github repository and enhance your chatbot’s features by together with an animated automobile dashboard.

5. Digit Recognition System

Because the title suggests, this undertaking includes creating a digit recognition system that may classify digits based mostly on the set tenets. Right here, you’ll be utilizing the MNIST dataset containing photographs (28 X 28 dimension). 

This project goals to create a recognition system that may classify digits starting from 0 to 9 utilizing a mixture of shallow network and deep neural network and by implementing logistic regression. Softmax Regression or Multinomial Logistic Regression is the best selection for this undertaking. Since this system is a generalization of logistic regression, it’s apt for multi-class classification, assuming that every one of the classes is mutually unique).

Also Read: JavaScript Vs. PHP: Difference between JavaScript and PHP

Deep Learning Project Ideas – Superior Stage

6. OpenCog

OpenCog undertaking contains the core parts and a platform to facilitate AI R&D. It goals to design an open-source Artificial General Intelligence (AGI) framework that may precisely seize the spirit of the human mind’s structure and dynamics. The AI bot, Sophia is without doubt one of the most interesting examples of AGI.

OpenCog additionally encompasses OpenCog Prime – a complicated structure for robotic and digital embodied cognition that features an assortment of interacting parts to provide beginning to human-equivalent artificial general intelligence (AGI) as an emergent phenomenon of the system as a complete.

7. WaveGlow

This is without doubt one of the fascinating deep learning project concepts. WaveGlow is a flow-based Generative Network for Speech Synthesis developed and supplied by NVIDIA. It can generate high-quality speech from Mel-spectrograms. It blends the insights obtained from WaveNet and Glow to facilitate quick, environment friendly, and high-quality audio synthesis, with out requiring auto-regression.

WaveGlow can be carried out by way of a single network and in addition trained to utilize a single cost function. The purpose is to optimize the probability of the training data, thereby makes the training process manageable and secure.

Also Read: The 7 Types of Artificial Neural Networks ML Engineers Need to Know

8. Detector

Detectron is a Facebook AI Research’s (FAIR) software program system designed to execute and run state-of-the-art Object Detection algorithms. Written in Python, this Deep Learning undertaking is predicated on the Caffe2 deep learning framework.

Detectron has been the muse for many great research projects together with Feature Pyramid Networks for Object Detection; Mask R-CNN; Detecting and Recognizing Human-Object Interactions; Focal Loss for Dense Object Detection; Non-local Neural Networks, and Learning to Segment Every Thing, to call just a few.

Detectron presents a high-quality and high-performance codebase for object detection analysis. It contains over 50 pre-trained models and is extraordinarily flexible – it helps fast implementation and evaluation of novel research.

9. DeepMimic

DeepMimic is an “example-guided Deep Reinforcement Learning of Physics-based character skills.” In different words, it’s a neural network educated by leveraging reinforcement learning to breed motion-captured actions by way of a simulated humanoid, or another physical agent. 

The functioning of DeepMimic is fairly easy. First, you want to arrange a simulation of the factor you want to animate (you possibly can capture somebody making particular actions and attempt to imitate that). Now, you use the movement capture data to coach a neural network via reinforcement learning. The input right here is the configuration of the legs and arms at completely different time factors whereas the reward is the distinction between the real thing and the simulation at specific time points.

Also Read: Machine Learning vs Neural Networks: What is the Difference?

Conclusion

On this article, we’ve coated top deep learning project concepts. We began with some beginner projects which you’ll remedy with ease. When you end with these simple projects, I recommend you return, study just a few extra ideas after which strive the intermediate projects. Whenever you really feel assured, you possibly can then deal with the superior projects. In case you want to enhance your deep learning expertise, you want to get your arms on these deep learning project ideas.

Related Articles
Exit mobile version