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Learn Gradient Descent online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
00:00:00 - Introduction 00:00:15 - Neural Networks 00:05:41 - Activation Functions 00:07:47 - Neural Network Structure 00:16:02 - Gradient Descent 00:30:00 - Multilayer Neural Networks 00:32:58 - Backpropagation 00:36:27 - Overfitting 00:38:52 - TensorFlow 00:53:01 - Computer Vision 00:58:09 - Imag…
Packt
Unlock the core concepts of backpropagation, gradients, and gradient descent, and learn to implement them in Python. Master the theory behind neural networks and gain hands-on coding experience by building your own model. In this course, you will embark on a comprehensive learning journey, starting…
IBM
Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techniques.
École polytechnique fédérale de Lausanne
Learn to optimize on smooth, nonlinear spaces: Join us to build your foundations (starting at "what is a manifold?") and confidently implement your first algorithm (Riemannian gradient descent).
Udacity
Learn the fundamentals of neural networks with Python and TensorFlow, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.
Great Learning
Free stochastic gradient descent learning should help analytics, data science, and business learners understand why the topic matters before moving into deeper practice. The course introduces data preparation, model thinking, visual analysis, and evaluation in a way that shows how the pieces work t…
This live stream is a continuation of neural network series. I attempt to discuss backpropagation, but it mostly goes haywire. Timestamps: 30:20 - Reading Random Numbers 36:22 - Backpropagation Part 1 1:06:56 - Backpropagation Part 2 1:40:25 - Learning with Gradient Descent 🚂 Website: http://thecod…
Udacity
Learn the fundamentals of neural networks with Python and PyTorch, and then use your new skills to create your own image classifier—an application that will first train a deep learning model on a dataset of images and then use the trained model to classify new images.
In this live stream, I continue my Machine Learning series, covering Linear Regression with Gradient Descent. I also discuss some concepts from calculus: the power rule, the chain rule, and partial derivatives. This video is part of the third session of my ITP "Intelligence and Learning" course (ht…
In this live stream, I make another attempt to discuss backpropagation with gradient descent. I also solve XOR with the new toy neural network library. 23:57 - Gradient Descent video 1:46:27 - 2nd Gradient Descent video 2:14:50 - XOR Coding Challenge Schedule and topics: https://github.com/CodingTr…
Udacity
Learn core data science concepts and apply supervised machine learning models in real projects. Build your portfolio, master evaluation techniques, and gain practical skills to stand out in data-driven careers.
In this live stream, I explain the math behind gradient descent from my previous linear regression video. I also begin exploring the content from Session 4 of the "Intelligence and Learning" course. I build a simple Perceptron example in Processing. This video is part of the third and fourth sessio…
Udacity
Develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization. Learn how to use, build, and train machine learning models with popular Python libraries. Implement neural networks using PyTorch. Gain practical experie…
Udacity
Learn to build powerful models in this Machine Learning Nanodegree with PyTorch. Master supervised, unsupervised, and deep learning techniques through projects involving customer segmentation and image classification.
Udacity
This course covers foundational topics in Calculus. You will learn the foundations of calculus and understand how to train a neural network: plotting, derivatives, the chain rule, and more. You will also see how these mathematical skills visually come to life with a neural network example.
Udacity
This Nanodegree prepares you to design, build, and optimize self-driving car systems by mastering computer vision, sensor fusion, localization, and control through hands-on projects using C++, Python, and deep learning.
