This week was all about Neural Networks and Deep Learning 🌟
<h3>From Basics to Breakthroughs in CNNs 📸</h3>
<ul>
<li>Pre-trained Models: Utilizing pre-trained convolutional neural networks for faster, more accurate results.</li>
<li>Convolutional Neural Networks (CNNs): Exploring the mechanics of image classification and feature extraction.</li>
<li>Transfer Learning: Repurposing knowledge from existing models to boost efficiency and reduce training time.</li>
</ul>
<h3>Optimizing and Enhancing Model Performance 🔧</h3>
<ul>
<li>Adjusting the Learning Rate: Fine-tuning to maximize accuracy.</li>
<li>Checkpointing: Saving progress at key intervals to prevent losing work and improve reliability.</li>
<li>Adding Layers: Enhancing model complexity to tackle challenging datasets.</li>
<li>Regularization &amp; Dropout: Preventing overfitting for more generalizable predictions.</li>
<li>Data Augmentation: Expanding datasets with transformations for better model robustness.</li>
</ul>
🔗 I also completed the Week 8 homework! 🎓 Feel free to check out my solutions and code here: <a href="https://github.com/RuiFSP/ml-zoomcamp/blob/main/08-deep-learning/homework08/homework08.ipynb" target="_blank" rel="noopener nofollow">GitHub Repository</a>)
A huge thank you to my fellow learners at <a href="https://www.linkedin.com/company/datatalks-club/" target="_blank" rel="noopener nofollow">DataTalksClub</a> for enriching discussions, and special thanks to <a href="https://www.linkedin.com/in/agrigorev/" target="_blank" rel="noopener nofollow">Alexey Grigorev</a> for fostering such a dynamic learning community!
#DeepLearning #NeuralNetworks #MachineLearning #AI #ConvolutionalNeuralNetworks #TransferLearning #TensorFlow #Keras #SaturnCloud #DataScience

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LearningInPublic

This post covers the highlights of Week 8 in the Machine Learning Zoomcamp, focusing on neural networks and deep learning. Topics include pre-trained models, convolutional neural networks (CNNs), transfer learning, and various techniques for optimizing and enhancing model performance such as adjusting learning rates, checkpointing, and data augmentation. The author also completed the Week 8 homework, available on GitHub.

🚀 Week 8 of Machine Learning Zoomcamp Complete!🎉