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    3. Deep Learning Projects Using Library in Python: Develop machine learning and deep learning models with Python

    Deep Learning Projects Using Library in Python: Develop machine learning and deep learning models with Python

    Posted By: naag
    Date: 26 Jun 2025 04:14:46
    Deep Learning Projects Using Library in Python: Develop machine learning and deep learning models with Python

    Deep Learning Projects Using Library in Python: Develop machine learning and deep learning models with Python
    English | 2024 | ASIN: B0DJBTX12C | 209 pages | PDF | 9.94 MB

    Python is of the most popular and versatile programming languages in the tech industry. However, despite their popularity and versatility, mastering them can be challenging, especially for beginners. Technical challenges such as debugging and tight deadlines can cause stress and anxiety, and career advancement and staying up to date with the latest developments in the field can be daunting.


    Here what you'll learn after downloading this book:

    ✓# 1: Realtime Number Plate Detection using Yolov7
    ✓# 2: Easiest way to Train yolov7 on the custom dataset
    ✓# 3: Google Stock Price Prediction using LSTM
    ✓# 4: Image Captioning using Deep Learning
    ✓# 5: Helmet and Number Plate Detection and Recognition using YOLOv3
    ✓# 6: Invisible Man using Mask-RCNN
    ✓# 7: Neural Style Transfer
    ✓# 8: Sudoku Solver
    ✓# 9: Human Segmentation using U-Net
    ✓# 10: Milk Production prediction for next year using LSTM
    ✓# 11: Emotion Detector using Keras
    ✓# 12: MNIST Handwritten Number Recognition
    ✓# 13: Monkey Breed Classification using Transfer Learning
    ✓# 14: MNIST Handwritten number recognition using Keras
    ✓# 15: AI learns to play Flappy Bird Game
    ✓# 16: Age Detection using CNN with Keras
    ✓# 17: Fire and Smoke Detection using CNN with Keras
    ✓# 18: Cats and Dogs Classifier
    ✓# 19: Dimensionality Reduction using Autoencoders



    This Book Is Perfect For:

    • Beginners who want to learn Python
    • Students who are taking a Python programming course
    • Professionals who want to learn Python for their job
    • Anyone who wants to learn how to code
    UPWARDS