Neural Networks in Machine Learning project ideas beginner to advance.

Beginner level projects:

Faheem Khan

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Mar 9, 2023

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1. Binary Classification: Build a neural network model that can classify inputs into one of two categories.
2. Multiclass Classification: Build a neural network model that can classify inputs into multiple categories.
3. Regression: Build a neural network model that can predict a continuous output value.
4. Image Classification: Build a neural network model that can classify images into different categories based on the content.
5. Text Classification: Build a neural network model that can classify text into different categories based on the content.

Intermediate level projects:

1. Sentiment Analysis: Build a neural network model that can predict the sentiment (positive, negative, or neutral) of a piece of text.
2. Convolutional Neural Networks (CNNs): Build a CNN model for image recognition and classification.
3. Recurrent Neural Networks (RNNs): Build a RNN model for natural language processing tasks such as language modeling or sequence-to-sequence translation.
4. Generative Adversarial Networks (GANs): Build a GAN model for generating realistic images.
5. Transfer Learning: Fine-tune a pre-trained neural network model for a specific task such as image classification or natural language processing.

Advanced level projects:

1. Object Detection: Build a neural network model that can detect and locate objects within an image.
2. Image Segmentation: Build a neural network model that can divide an image into different segments based on the content.
3. Neural Machine Translation: Build a neural network model that can translate text from one language to another.
4. Reinforcement Learning: Build a neural network model for solving complex tasks through trial-and-error learning.
5. Graph Neural Networks: Build a neural network model that can operate on graph-structured data, such as social networks or molecules.