Image Classification using MLP | Hyper Parameter Tuning | Deep Learning with PyTorch
🚀 Deep Learning with PyTorch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfRMjkzgzOVJZqVhvLk1gj9Q
Previous lessons: https://youtu.be/pbECUKm-tuA
Also watch our other playlists:
ML Models from Scratch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfR5mFMpF39dBuUueQFLZ910
KNN Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfTMLTvWu66dByhn3s_yxf4f
K-Means Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfSsegiIPgqkDNviUpg1ue-6
Python for DS : https://www.youtube.com/playlist?list=PLz6pthWWCdfSBz4hOth7sFNmEm0mUh-yN
In this video, we dive deep into hyper parameter tuning for image classification using Multi-Layer Perceptron (MLP). Learn how to optimize your deep learning models for better accuracy and performance.In this video, we dive deep into hyper parameter tuning for image classification using Multi-Layer Perceptron (MLP). Learn how to optimize your deep learning models for better accuracy and performance.
In this video, we continue our journey into Deep Learning with PyTorch by focusing on training a Multi-Layer Perceptron (MLP) using GPUs for image classification. Learn the step-by-step process of:
• Finding cartesian product of hyper parameters that will be evaluated.
• Techniques to tune hyper-parameters effectively
• Practical demonstration using PyTorch
If you're learning Machine Learning, Deep Learning, or AI, this video will provide you with a solid foundation to implement your own models. Don't forget to hit like, comment, and subscribe to keep learning with me!
Resources:
🔗 Code : https://github.com/mohangollapalli/dl-pytorch/blob/f4c183949ccbc4d9dc7d8f9c95deb3ea8f3e469c/04-mlp-image-classification.ipynb
🎯 Who is this for?
Perfect for beginners and intermediates in deep learning who want a structured and practical approach to building AI models. Whether you're prepping for a data science interview or looking to build your own projects, mastering deep learning algorithms will set a strong foundation for more advanced machine learning techniques.
#datasciencetutorial #machinelearningtutorial #datascience #mlclustering #machinelearningprojects #datascienceprojects #deeplearningprojects #pytorch #pytorchtutorial #cuda #gpu
#hyperparametertuning
Time breaks:
00:00 Hyper parameter tuning - Context
01:24 Data Partitioning
02:17 Hyper-parameter grid
04:10 Cartesian product
06:47 Changes to model training process
11:52 Conclusion and next steps
Make sure to subscribe and hit the notification bell to get the latest on deep learning, machine learning, and Data Science tutorials! 💻
@SimplifiedAICourse
Видео Image Classification using MLP | Hyper Parameter Tuning | Deep Learning with PyTorch канала Simplified AI Course
Previous lessons: https://youtu.be/pbECUKm-tuA
Also watch our other playlists:
ML Models from Scratch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfR5mFMpF39dBuUueQFLZ910
KNN Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfTMLTvWu66dByhn3s_yxf4f
K-Means Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfSsegiIPgqkDNviUpg1ue-6
Python for DS : https://www.youtube.com/playlist?list=PLz6pthWWCdfSBz4hOth7sFNmEm0mUh-yN
In this video, we dive deep into hyper parameter tuning for image classification using Multi-Layer Perceptron (MLP). Learn how to optimize your deep learning models for better accuracy and performance.In this video, we dive deep into hyper parameter tuning for image classification using Multi-Layer Perceptron (MLP). Learn how to optimize your deep learning models for better accuracy and performance.
In this video, we continue our journey into Deep Learning with PyTorch by focusing on training a Multi-Layer Perceptron (MLP) using GPUs for image classification. Learn the step-by-step process of:
• Finding cartesian product of hyper parameters that will be evaluated.
• Techniques to tune hyper-parameters effectively
• Practical demonstration using PyTorch
If you're learning Machine Learning, Deep Learning, or AI, this video will provide you with a solid foundation to implement your own models. Don't forget to hit like, comment, and subscribe to keep learning with me!
Resources:
🔗 Code : https://github.com/mohangollapalli/dl-pytorch/blob/f4c183949ccbc4d9dc7d8f9c95deb3ea8f3e469c/04-mlp-image-classification.ipynb
🎯 Who is this for?
Perfect for beginners and intermediates in deep learning who want a structured and practical approach to building AI models. Whether you're prepping for a data science interview or looking to build your own projects, mastering deep learning algorithms will set a strong foundation for more advanced machine learning techniques.
#datasciencetutorial #machinelearningtutorial #datascience #mlclustering #machinelearningprojects #datascienceprojects #deeplearningprojects #pytorch #pytorchtutorial #cuda #gpu
#hyperparametertuning
Time breaks:
00:00 Hyper parameter tuning - Context
01:24 Data Partitioning
02:17 Hyper-parameter grid
04:10 Cartesian product
06:47 Changes to model training process
11:52 Conclusion and next steps
Make sure to subscribe and hit the notification bell to get the latest on deep learning, machine learning, and Data Science tutorials! 💻
@SimplifiedAICourse
Видео Image Classification using MLP | Hyper Parameter Tuning | Deep Learning with PyTorch канала Simplified AI Course
machine learning data science datascience deep learning pytorch ML algorithms python linear regression knn Image Classification Hyperparameter Tuning MLP PyTorch Deep Learning Tutorial PyTorch Image Classification Hyperparameter Optimization Data Science Projects ML Engineer Tips Deep Learning with Python Neural Network Tuning PyTorch Tutorial MLP Hyperparameters Image Classification Model Machine Learning for Beginners Data Science Learning Path CNN
Комментарии отсутствуют
Информация о видео
1 января 2025 г. 8:30:03
00:13:51
Другие видео канала
