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28 Σεπ 2023 · These intermediate machine learning projects focus on data processing and training models for structured and unstructured datasets. Learn to clean, process, and augment the dataset using various statistical tools.
1 Φεβ 2021 · DF21 is an implementation of Deep Forest 2021.2.1. It is designed to have the following advantages: Powerful: Better accuracy than existing tree-based ensemble methods. Easy to Use: Less efforts on tunning parameters. Efficient: Fast training speed and high efficiency. Scalable: Capable of handling large-scale data.
3 Φεβ 2021 · This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Intermediate Deep Learning projects. These are Deep Learning Projects that you should add to your portfolio if you have a hold on basic Deep Learning concepts and are in later years in B.Sc or pursuing M.Sc in Computer Science.
Intermediate Deep Learning Project Ideas 1. Traffic Sign Classification. Deep Learning Project Idea – The traffic sign classification project is useful for all autonomous vehicles. Machines are able to identify traffic signs from the image.
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.
14 Αυγ 2023 · Deep Learning Projects For Beginners. 1. Image Classification Using CIFAR-10 Dataset. 2. Dog’s Breed Identification. 3. Human Face Detection. 4. Music Genre Classification System. Intermediate Deep Learning Projects. 5. Drowsy Driver Detection System. 6. Breast Cancer Detection Ssing Deep Learning. 7. Gender Recognition Using Voice. 8. Chatbot. 9.
