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Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
MIT OpenCourseWare
This course covers the fundamentals of deep learning, including both theory and applications. Topics include neural net architectures (MLPs, CNNs, RNNs, graph nets, transformers), geometry and invariances in deep learning, backpropagation and automatic differentiation, learning theory and generaliz…
Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probabil…
DeepLearning.AI
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In this fourth course, you will…
Great Learning
This free image processing course starts by introducing you to Digital Image Processing and computer vision. You will also learn about data augmentation, weight initialization, and regularization. Comprehend image processing using neural networks, image classification, and work on projects like smi…
DeepLearning.AI
In this course, you will: - Learn about GANs and their applications - Understand the intuition behind the fundamental components of GANs - Explore and implement multiple GAN architectures - Build conditional GANs capable of generating examples from determined categories The DeepLearning.AI Generati…
DeepLearning.AI
AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. As an AI practitioner, you have the opportunity to join in this transformation of modern medicine. If you're already…
DeepLearning.AI
In this course, you will: - Assess the challenges of evaluating GANs and compare different generative models - Use the Fréchet Inception Distance (FID) method to evaluate the fidelity and diversity of GANs - Identify sources of bias and the ways to detect it in GANs - Learn and implement the techni…
DeepLearning.AI
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. This second course teaches you how to run your machine learning models in…
DeepLearning.AI
In this course, you will: a) Explore image classification, image segmentation, object localization, and object detection. Apply transfer learning to object localization and detection. b) Apply object detection models such as regional-CNN and ResNet-50, customize existing models, and build your own…
IBM
Covers Artificial Intelligence, Machine Learning, Reinforcement Learning.
IBM
Covers Artificial Intelligence, Data Science, Deep Learning.
freeCodeCamp
TensorFlow, neural networks and five machine learning projects.
Deep learning has achieved remarkable success in supervised and reinforcement learning problems including image classification, speech recognition, and game playing. These models are, however, to a large degree, specialized for the single task they are trained for. This course will cover the settin…
Microsoft
Learn how to use deep learning libraries like PyTorch in Azure Databricks, and to distribute training by using TorchDistributor
Great Learning
Free tensorflow python learning should help students, developers, and hands-on beginners understand why the topic matters before moving into deeper practice. The course introduces setup, syntax, core logic, and debugging in a way that shows how the pieces work together. Instead of treating tensorfl…
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