A deep understanding of deep learning (with Python intro)
A deep understanding of deep learning (with Python intro)
Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.
Product Brand: Udemy
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Udemy Coupon Code for A deep understanding of deep learning (with Python intro) Course. Master deep learning in PyTorch using an experimental scientific approach, with lots of examples and practice problems.
Created by Mike X Cohen | 57.5 hours on-demand video course | 1 downloadable resource
Deep Learning (with Python intro) Course Overview
A deep understanding of deep learning (with Python intro)
Deep learning is increasingly dominating technology and has major implications for society. From self-driving cars to medical diagnoses, from face recognition to deep fakes, and from language translation to music generation, deep learning is spreading like wildfire throughout all areas of modern technology.
But deep learning is not only about super-fancy, cutting-edge, highly sophisticated applications. Deep learning is increasingly becoming a standard tool in machine-learning, data science, and statistics. Deep learning is used by small startups for data mining and dimension reduction, by governments for detecting tax evasion, and by scientists for detecting patterns in their research data. Deep learning is now used in most areas of technology, business, and entertainment. And it’s becoming more important every year.
What you’ll learn
- The theory and math underlying deep learning
- How to build artificial neural networks
- Architectures of feedforward and convolutional networks
- Building models in PyTorch
- The calculus and code of gradient descent
- Fine-tuning deep network models
- Learn Python from scratch (no prior coding experience necessary)
- How and why autoencoders work
- How to use transfer learning
- Improving model performance using regularization
- Optimizing weight initializations
- Understand image convolution using predefined and learned kernels
- Whether deep learning models are understandable or mysterious black-boxes!
- Using GPUs for deep learning (much faster than CPUs!)
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Deep Learning and NLP: Seq2Seq Model Theory + ChatGPT Prizes
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Learn the theory of Seq2Seq in only 2 hours! A straight to the point course for those of you who don’t have a lot of time. Embark on an academic adventure with our specialized Deep Learning and NLP: Seq2Seq Model Theory + ChatGPT Prizes online course, meticulously designed to illuminate the theoretical aspects of Seq2Seq (Sequence to Sequence) models within the realms of Deep Learning and Natural Language Processing (NLP).
PyTorch for Deep Learning Bootcamp
PyTorch for Deep Learning Bootcamp Best seller
PyTorch for Deep Learning Bootcamp Course. PyTorch is a machine learning and deep learning framework written in Python. PyTorch enables you to craft new and use existing state-of-the-art deep learning algorithms like neural networks powering much of today’s Artificial Intelligence (AI) applications.
Who this course is for:
- Students in a deep learning course
- Machine-learning enthusiasts
- Anyone interested in mechanisms of AI (artificial intelligence)
- Data scientists who want to expand their library of skills
- Aspiring data scientists
- Scientists and researchers interested in deep learning
Taught by Mike X Cohen
