Deep Learning Project: Plant Disease Detection | PyTorch | Creating Custom Dataset скачать в хорошем качестве

Deep Learning Project: Plant Disease Detection | PyTorch | Creating Custom Dataset

End to End Deep Learning Project | Convolutional Neural Networks (CNNs) | Image Classification using PyTorch | Plant Disease detection. In this Deep Learning end-to-end project, we begin building a Plant Disease Identification model using PyTorch. 📌 What you will learn: 🔹 Load image data using the `ImageFolder` class 🔹 Investigate the dataset object and sample class labels 🔹 Filter and sample specific plant disease categories 🔹 Create a custom PyTorch Dataset class for more control 🔹 Override __len__() and __getitem__() methods 🔹 Instantiate a custom dataset object with filtered data 🔹 Visualize transformed data as images using matplotlib Whether you're a beginner or looking to deepen your PyTorch skills, this tutorial will guide you step-by-step in preparing your image dataset for plant disease classification. ✅ What’s next? We will train CNN models on this dataset to detect diseases like early blight, bacterial spot, and more! ✅ Tools: Python, PyTorch, torchvision Watch our other playlists here : 🔗 LangChain Playlist :    • LangChain Tutorial Series | Building LLM a...   🤖 Agentic AI Playlist :    • Building AI Agents with AutoGen   💻 Deep Learning with PyTorch Playlist :    • Deep Learning with PyTorch   📊 CNN :    • Convolutional Neural Networks (CNNs) | Dee...   🧮 ML Models from Scratch Playlist :    • ML Models Implementation from Scratch   📌 KNN Playlist :    • KNN   📈 K-Means Playlist :    • K-Means Clustering   📌 Python for DS :    • Python   🎯 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. #DeepLearning #CNN #MachineLearning #AI #ComputerVision #ConvolutionalNeuralNetworks #PyTorch #NeuralNetworks #MLP #ImageProcessing #DeepLearningTutorial #ArtificialIntelligence #datascienceprojects #deeplearningprojects #ConvolutionOperation #ComputerVision #ParameterSharing #LocalConnectivity #Pooling #MaxPooling #AveragePooling #MeanPooling #CNNArchitecture #ComputerVision #CNNFullCourse #Backpropagation #ImageClassification Time breaks: 00:00 Project Introduction. 02:19 Plant Disease dataset. 04:49 Using ImageFolder for loading data. 06:42 Exploring dataset object. 08:25 Filtering the data. 12:40 Updating class labels for filtered samples. 17:00 Creating custom dataset class. 19:47 Method overriding : _len__, __getitem_ 22:13 Creating custom dataset object. 25:21 Display transformed data as an image. 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! ‪@SimplifiedAICourse‬