Rating: 4.8 out of 5
Looking to dive deep into the world of deep learning? This comprehensive course is designed for those who genuinely want to understand the ins and outs of deep learning, rather than just getting a quick overview. Throughout the course, you will gain flexible, fundamental, and lasting expertise, equipping you with a solid understanding of the concepts that will enable you to learn new topics and trends as they arise in the future. Just a heads up: this course is not for those seeking superficial knowledge from a YouTube video. Instead, it’s for individuals who genuinely want to grasp how and why deep learning works, and how to apply this knowledge to various scenarios.
The course has a lot to offer — from covering theoretical and mathematical aspects to diving into the implementations of deep learning models using Python with the PyTorch library. You’ll also get multiple explanations for concepts like transfer learning, generative modeling, convolutional neural networks, feedforward networks, GANs, and so much more. What’s more, you’ll be able to master Python through an 8+ hour tutorial, learn how to use Google Colab, and participate in numerous exercises and projects that will fortify your deep learning expertise. With clear explanations, interactive Q&A forums and visualizations to help build your intuition, it’s time to dive into the fascinating world of deep learning. So go ahead, check out the course introductory video, and see if this transformative journey is the right fit for you!
Udemy usually has a very limited availability of discount codes, by clicking the check and activate coupon button below we’ll try to automatically find and apply a coupon for you (if any are available).
Skills you’ll learn
- Deep understanding of fundamental concepts in deep learning
- Selection and usage of metaparameters like optimizers, normalizations, and learning rates
- Evaluation of deep neural network model performance
- Modification and adaptation of existing models to solve new problems
- Python programming skills
- Implementation of deep learning models using PyTorch library
- Usage of Google Colab for running Python code and simulations
- Transfer learning, generative modeling, and various neural network architectures
Dive into the fascinating world of deep learning with instructor Mike X Cohen, who gracefully guides over 18,000 enthusiastic learners through 265 comprehensive lessons. With a solid introduction to Python, this highly-rated course (4.8/5 stars) promises an engaging and rewarding educational journey for all skill levels.