Nanodegree Program

                                      Deep Learning

                                      Build Deep Learning Models Today
                                      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.
                                      Enroll Now
                                      • DAYS
                                      • HRS
                                      • MIN
                                      • SEC
                                      • Estimated Time
                                        4 months

                                        At 12 hrs/week

                                      • Enroll by
                                        January 13, 2021

                                        Get access to classroom immediately on enrollment

                                      • Prerequisites
                                        Basic Python

                                      In collaboration with

                                      • AWS
                                      • Facebook Artificial Intelligence

                                      What You Will Learn

                                      Syllabus

                                      Deep Learning

                                      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.

                                      Master building and implementing neural networks for image recognition, sequence generation, image generation, and more.

                                      Related Nanodegrees
                                      Prerequisite Knowledge

                                      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.

                                      • Introduction

                                        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.

                                      • Neural Networks

                                        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.

                                      • 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.

                                      • 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.

                                      Icon - Dark upwards trend arrow

                                      The share of jobs requiring AI skills has grown 4.5x since 2013

                                      All Our Programs Include

                                      Real-world projects from industry experts

                                      Real-world projects from industry experts

                                      With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
                                      Technical mentor support

                                      Technical mentor support

                                      Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
                                      Career Services

                                      Career services

                                      You’ll have access to resume support, Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
                                      Flexible learning program

                                      Flexible learning program

                                      Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
                                      Program OfferingsFull list of offerings included:
                                      Enrollment includes:
                                      Class Content
                                      Content Co-created with AWS
                                      icon-checkmarkCheckmark
                                      Real-world projects
                                      icon-checkmarkCheckmark
                                      Project reviews
                                      icon-checkmarkCheckmark
                                      Project feedback from experienced reviewers
                                      icon-checkmarkCheckmark
                                      Student Services
                                      Technical mentor support
                                      New
                                      icon-checkmarkCheckmark
                                      Student community
                                      Improved
                                      icon-checkmarkCheckmark
                                      Career services
                                      Resume support
                                      icon-checkmarkCheckmark
                                      Github review
                                      icon-checkmarkCheckmark
                                      Linkedin profile optimization
                                      icon-checkmarkCheckmark
                                      Succeed with Personalized Services
                                      We provide services customized for your needs at every step of your learning journey to ensure your success!
                                      Experienced Project Reviewers
                                      Project Reviewers
                                      Technical Mentor Support
                                      Technical Mentor Support
                                      Get timely feedback on your projects
                                      Reviews By the numbers
                                      2000+ project reviewers
                                      1.8M projects reviewed
                                      4.85/5 reviewer ratings
                                      3 hour avg project review turnaround time
                                      Reviewer Services
                                      • Personalized feedback
                                      • Unlimited submissions and feedback loops
                                      • Practical tips and industry best practices
                                      • Additional suggested resources to improve

                                      Learn with the best

                                      Mat Leonard
                                      Mat Leonard

                                      Instructor

                                      Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

                                      Luis Serrano
                                      Luis Serrano

                                      Instructor

                                      Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

                                      Cezanne Camacho
                                      Cezanne Camacho

                                      Curriculum Lead

                                      Cezanne is a computer vision expert with a Masters in Electrical Engineering from Stanford University. As a former genomics and biomedical imaging researcher, she’s applied computer vision and deep learning to medical diagnostics.

                                      Alexis Cook
                                      Alexis Cook

                                      Instructor

                                      Alexis is an applied mathematician with a Masters in computer science from Brown University and a Masters in applied mathematics from the University of Michigan. She was formerly a National Science Foundation Graduate Research Fellow.

                                      Jennifer Staab
                                      Jennifer Staab

                                      Instructor

                                      Jennifer has a PhD in Computer Science and a Masters in Biostatistics; she was a professor at Florida Polytechnic University. She previously worked at RTI International and United Therapeutics as a statistician and computer scientist.

                                      Sean Carrell
                                      Sean Carrell

                                      Instructor

                                      Sean Carrell is a former research mathematician specializing in Algebraic Combinatorics. He completed his PhD and Postdoctoral Fellowship at the University of Waterloo, Canada.

                                      Ortal Arel
                                      Ortal Arel

                                      Instructor

                                      Ortal Arel is a former computer engineering professor. She holds a Ph.D. in Computer Engineering from the University of Tennessee. Her doctoral research work was in the area of applied cryptography.

                                      Jay Alammar
                                      Jay Alammar

                                      Instructor

                                      Jay has a degree in computer science, loves visualizing machine learning concepts, and is the Investment Principal at STV, a $500 million venture capital fund focused on high-technology startups.

                                      Top Student Reviews

                                      ?

                                      (0)

                                      ?

                                      ????????

                                      ?

                                      ????????

                                      ?

                                      ????????

                                      ?

                                      ????????

                                      ?

                                      ????????

                                      ?

                                      ????????

                                      Get started with

                                      Deep Learning

                                      Icon-Book-blue
                                      Learn
                                      Learn to build the deep learning models that are revolutionizing artificial intelligence.
                                      Icon - Clock -Blue
                                      Average Time
                                      On average, successful students take undefined months to complete this program.
                                      Icon - Project - Blue
                                      Benefits include
                                      • Real-world projects from industry experts
                                      • Technical mentor support
                                      • Career services

                                      15% OFF

                                      undefined months access
                                      ? per month

                                      Start learning today! Switch to the monthly price afterwards if more time is needed.

                                      Pay as you go
                                      ?per month

                                      Start learning today! Get maximum flexibility to learn at your own pace.

                                      Program Details

                                      PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
                                      • Why should I enroll?
                                        In this program, you’ll master deep learning fundamentals that will prepare you to launch or advance a career, and additionally pursue further advanced studies in the field of artificial intelligence. You will study cutting-edge topics such as neural, convolutional, recurrent neural, and generative adversarial networks, as well as sentiment analysis model deployment. You will build projects in Keras and NumPy, in addition to TensorFlow PyTorch. You will learn from experts in the field, and gain exclusive insights from working professionals. For anyone interested in building expertise with this transformational technology, this Nanodegree program is an ideal point-of-entry.
                                      • What jobs will this program prepare me for?
                                        This program is designed to build on your skills in deep learning. As such, it doesn't prepare you for a specific job, but expands your skills in the deep learning domain. These skills can be applied to various applications and also qualify you to pursue further studies in the field.
                                      • How do I know if this program is right for me?
                                        If you are interested in the fields of artificial intelligence and machine learning, this Nanodegree program is the perfect way to get started!
                                      ENROLLMENT AND ADMISSION
                                      • Do I need to apply? What are the admission criteria?
                                        No. This Nanodegree program accepts all applicants regardless of experience and specific background.
                                      • What are the prerequisites for enrollment?
                                        Students who are interested in enrolling must have intermediate-level Python programming knowledge, and experience with NumPy and pandas. You will need to be able to communicate fluently and professionally in written and spoken English. Additionally, students must have the necessary math knowledge, including: algebra and some calculus—specifically partial derivatives, and matrix multiplication (linear algebra).
                                      • If I do not meet the requirements to enroll, what should I do?
                                      TUITION AND TERM OF PROGRAM
                                      • How is this Nanodegree program structured?
                                        The Deep Learning Nanodegree program is comprised of content and curriculum to support five (5) projects. We estimate that students can complete the program in four (4) months working 10 hours per week.
                                        Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
                                      • How long is this Nanodegree program?
                                        Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
                                      • Can I switch my start date? Can I get a refund?
                                        Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
                                      • I have graduated from the Deep Learning Nanodegree program but I want to keep learning. Where should I go from here?
                                        Graduates from this Nanodegree program earn guaranteed admitted status into our more advanced Self-Driving Car Engineer or Flying Car Nanodegree programs, subject to payment by student for the cost of enrollment for those Nanodegree programs.
                                      SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
                                      • What software and versions will I need in this program?
                                        Virtually any 64-bit operating with at least 8GB of RAM will be suitable. Students should also have Python 3 and Jupyter Notebooks installed. For the more intensive portions of the program that come later, we will be providing students with AWS instances where geographically possible.

                                      Deep Learning

                                      Build Deep Learning Models Today

                                      Enroll Now
                                      影视大全在线观看免费观看,欧美av国产av日本av,在线a毛片免费视频观看,久久人人97超碰,色天使在线av中文字幕