Noah Gallego’s Post

🎉 Excited to share a milestone in my deep learning journey! I’ve completed Course 4: Convolutional Neural Networks (CNNs) from Andrew Ng’s Deep Learning Specialization on Coursera. 🚀 This course has deepened my understanding of CNN architectures, object detection, and image classification. I am thrilled to apply these skills in real-world machine learning projects! Looking forward to diving deeper into advanced concepts and contributing to impactful solutions. Let’s connect and discuss all things deep learning! 🌟

🎉 Excited to share that I've earned a certificate in Deep Learning from Kaggle! 🚀 Throughout this course, I've deepened my understanding of neural networks, activation functions, and advanced architectures like CNNs and RNNs. This journey has truly expanded my knowledge and skills in building, training, and optimizing deep learning models. I’m looking forward to applying these new skills to real-world projects and continuing to explore the exciting possibilities in AI and machine learning.

🚀 Excited to share that I have successfully completed the "Build Basic Generative Adversarial Networks (GANs)" course by DeepLearning.AI on Coursera, instructed by Sharon Zhou, PhD and Andrew Ng! 🎉 Through this course, I delved into the fundamentals of GANs, learning how to create and train these powerful neural networks to generate realistic images from random noise. The hands-on experience with building and fine-tuning GAN architectures has been incredibly rewarding. A big thank you to Sharon Zhou, PhD, Andrew Ng, and the DeepLearning.AI team for this comprehensive and insightful course. Looking forward to applying these skills in future AI projects and exploring more advanced GAN techniques!

"Thrilled to share that I’ve completed my Machine Learning certification! 🚀 Gained expertise in Machine Learning concepts such as Supervised Learning, Unsupervised Learning, classification, regression, clustering, and artificial neural networks. Excited to apply these skills to real-world projects and innovative solutions! 💻

I'm excited to share that I’ve completed the "Learning How to Learn" course on Coursera and received a new certification! While I had already been using many of the learning techniques covered in the course, it was incredibly eye-opening to discover the science behind why these methods are so effective. Understanding the underlying systems that make my brain work better was fascinating, especially since I can relate it to building neural networks. This knowledge will undoubtedly enhance my approach to learning and understanding intelligent systems.

"Thrilled to share my latest project on Optimization Theory and Recurrent Neural Networks (RNN) from my MSc fourth semester! Exploring the integration of optimization techniques within RNNs has provided me with valuable insights into advanced machine learning models. This project involved answering complex questions and applying theoretical concepts to practical scenarios. Looking forward to sharing my findings and contributing to discussions on these cutting-edge topics. Stay tuned for detailed insights and applications!"

There is a lot to unpack, much I will have to revisit to reinforce what I learned but sometimes hands on training is better than textbook studying. I built my first neural network. I took the opportunity to revise it for a linear regression model as well (its on my newly published AI portfolio on GitHub). #AI #NeuralNetworks #makingtheimpossiblepossible

🚀 Exciting Milestone Achieved! 🚀 I’m thrilled to share that I’ve just completed the second course in Machine Learning, diving deep into Neural Networks and Random Forest techniques, as part of the Machine Learning Specialization by DeepLearning.AI and Stanford University Online on Coursera. 🌟 This journey has been incredibly rewarding, from understanding how neural networks power everything from image recognition to self-driving cars, to learning how Random forests help make data-driven decisions with accuracy and speed! 🌲🔍

Thrilled to share that I've successfully completed the Machine Learning course on LinkedIn Learning! 🎓💻 After diving deep into topics like supervised and unsupervised learning, neural networks, and data preprocessing, I'm proud to have gained a comprehensive understanding of the principles and techniques driving machine learning algorithms.

Thrilled to have completed a 7-day Machine Learning Bootcamp with TensorFlow. This intensive program deepened my understanding of key machine learning concepts, including neural networks, model optimization, and deployment using TensorFlow. The hands-on experience provided valuable insights into building and training models to solve real-world problems. Excited to apply these skills and continue exploring the vast potential of machine learning in future projects!