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    7 best machine learning books in 2022

    7 best machine learning books in 2022

    12:31 |
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    Annotate Images Like a Pro: Python Image Annotation Tool Walkthrough

    Annotate Images Like a Pro: Python Image Annotation Tool Walkthrough

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    340 - Comparing Top Large Language Models for Python Code Generation

    340 - Comparing Top Large Language Models for Python Code Generation

    38:40 |
    Who is Sreeni and what does he do with the ad-revenue from his YouTube channel?

    Who is Sreeni and what does he do with the ad-revenue from his YouTube channel?

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    181 - Multivariate time series forecasting using LSTM

    181 - Multivariate time series forecasting using LSTM

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    332 - All about image annotations​

    332 - All about image annotations​

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    How to install DigitalSreeni Image Annotator

    How to install DigitalSreeni Image Annotator

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    16 - Understanding digital images for Python processing

    16 - Understanding digital images for Python processing

    18:31 |
    341 - Sholl Analysis using python coding

    341 - Sholl Analysis using python coding

    21:46 |
    319 - What is Simulated Annealing Optimization​?

    319 - What is Simulated Annealing Optimization​?

    14:17 |
    Python tips and tricks - 5: Extracting patches from large images and masks for semantic segmentation

    Python tips and tricks - 5: Extracting patches from large images and masks for semantic segmentation

    7:28 |
    70 - An overview of deep learning and neural networks

    70 - An overview of deep learning and neural networks

    33:48 |
    342 Sholl Analysis: Aggregating Sholl Profiles from Multiple Soma

    342 Sholl Analysis: Aggregating Sholl Profiles from Multiple Soma

    13:45 |
    330 - Fine tuning Detectron2 for instance segmentation using custom data

    330 - Fine tuning Detectron2 for instance segmentation using custom data

    50:22 |
    333 - An introduction to YOLO v8​

    333 - An introduction to YOLO v8​

    18:44 |
    336 - Nuclei segmentation and analysis using Detectron2 & YOLOv8​

    336 - Nuclei segmentation and analysis using Detectron2 & YOLOv8​

    57:08 |
    154 - Understanding the training and validation loss curves

    154 - Understanding the training and validation loss curves

    27:47 |
    228 - Semantic segmentation of aerial (satellite) imagery using U-net

    228 - Semantic segmentation of aerial (satellite) imagery using U-net

    41:57 |
    Annotate Images Like a Pro: Python Image Annotation Tool Demo

    Annotate Images Like a Pro: Python Image Annotation Tool Demo

    54:35 |
    158b - Transfer learning using CNN (VGG16) as feature extractor and Random Forest classifier

    158b - Transfer learning using CNN (VGG16) as feature extractor and Random Forest classifier

    25:34 |
    35 - Cell Nuclei analysis in Python using watershed segmentation

    35 - Cell Nuclei analysis in Python using watershed segmentation

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