----- UDACITY Video Training -----
Duration: 12 hrs/week in 4 mon | Video: h264, 1280x720 | Audio: AAC, 48kHz, 2 Ch | 3.2 GB
Genre: eLearning | Language: English
Deep learning is driving advances in artificial intelligence that are changing our world. Enroll now to build and apply your own deep neural networks to challenges like image classification and generation, time-series prediction, and model deployment.
DREAM BIG. WE'LL GET YOU THERE!
Whatever your goals, Udacity is dedicated to helping you make them happen. Master the latest skills, build amazing projects, and advance your career. With our unrivaled support and personalized attention we'll do everything we can to make sure you succeed. We've got the support you need to turn your dreams into reality.
Dedicated personal mentor
Overcome barriers to your learning with a knowledgeable mentor who can answer your questions and keep you focused on your goals.
Weekly live sessions
Get the close attention you need and interact with your classmates in regular live Q&A sessions and webinars.
Personalized learning plan
Accelerate your learning and beat your goals with a learning plan designed around your life.
What You Will Learn
Become an expert in neural networks, and learn to implement them using the deep learning framework PyTorch. Build convolutional networks for image recognition, recurrent networks for sequence generation, generative adversarial networks for image generation, and learn how to deploy models accessible from a website.
This program has been created specifically for students who are interested in machine learning, AI, and/or deep learning, and who have a working knowledge of Python programming, including NumPy and pandas. Outside of that Python expectation and some familiarity with calculus and linear algebra, it's a beginner-friendly program.See detailed requirements.
Get your first taste of deep learning by applying style transfer to your own images, and gain experience using development tools such as Anaconda and Jupyter notebooks.
Learn neural networks basics, and build your first network with Python and NumPy. Use the modern deep learning framework PyTorch to build multi-layer neural networks, and analyze real data.
PREDICTING BIKE-SHARING PATTERNS
Convolutional Neural Networks
Learn how to build convolutional networks and use them to classify images (faces, melanomas, etc.) based on patterns and objects that appear in them. Use these networks to learn data compression and image denoising.
Recurrent Neural Networks
Build your own recurrent networks and long short-term memory networks with PyTorch; perform sentiment analysis and use recurrent networks to generate new text from TV scripts.
GENERATE TV SCRIPTS
Generative Adversarial Networks
Learn to understand and implement a Deep Convolutional GAN (generative adversarial network) to generate realistic images, with Ian Goodfellow, the inventor of GANs, and Jun-Yan Zhu, the creator of CycleGANs.
Deploying a Sentiment Analysis Model
Train and deploy your own PyTorch sentiment analysis model. Deployment gives you the ability to use a trained model to analyze new, user input. Build a model, deploy it, and create a gateway for accessing it from a website.
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