[Udacity] Deep Learning v4.0.0

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Deep Learning

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 produce amazing solutions to important challenges.

  • 1 Term
  • 4 Months
  • Study 12 hrs / week

WHY ENROLL

Become career-ready faster

  • INDUSTRY SIZE & DEMAND

    Deep Learning Market is expected to grow at the CAGR of 52.1% till 2025

  • JOB OPPORTUNITIES

    Demand for AI, DL and ML specialists in the country are expected to see a 60% rise by 2018 due to increasing adoption of automation

  • RANKED #08 CNBC

    Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC

  • GLOBAL COMMUNITY

    Join a global community of over 50,000 Deep Learning Engineers who have learned with Udacity

Our Hiring Partners in Deep Learning

  • Red Bus
  • MapMyIndia
  • Tata Elxsi
  • Ola Cabs
  • Conde Nast India Pvt. Ltd.

Prerequisites and Requirements

You’ll need intermediate experience with Python to start this program. Some basic knowledge of machine learning is beneficial, although not required, to start this program.

Prepare now with AI Programming with Python.

WHAT YOU LEARN

Study cutting edge Content

Deep Learning Nanodegree

In this term, you’ll build and apply your own deep neural networks to produce amazing solutions to important challenges.

COURSE CONTENT

Best in-class content by industry leaders in the form of bite-size videos and quizzes.

COURSE SYLLABUS
  • 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.

PROJECTS

Industry relevant projects + unlimited project reviews by our global reviewers

PROJECT 1
  • Predicting Bike-Sharing Patterns

PROJECT 2
  • Dog-Breed Classifier

PROJECT 3
  • Generate TV scripts

PROJECT 4
  • Generate Faces

PROJECT 5
  • Deploying a Sentiment Analysis Model

SERVICES

We guide and support you throughout your learning journey through these services.

Knowledge
  • Search-based Q&A forum

Study Groups
  • Collaborate with Fellow Students

Project reviews & feedback
  • Receive actionable feedback from expert project reviewers until you get your code right!

Your Nanodegree journey

  • ENROLL IN NANODEGREE PROGRAM

    enroll by 13 Feb 2019

  • BRUSH UP ON PRE-REQUISITES

    while you wait for classroom to open, brush up on pre-requisites

  • CLASSROOM OPENS

    classroom will open on 13 Feb 2019

    In case you feel unsure about the program, we offer a full refund on cancelling within 7 days of classroom opening.
  • SUBMIT PROJECTS

    submit all projects within 4 months

  • COMPLETE NANODEGREE PROGRAM

    finish requirements for graduation

  • GRADUATE

    You are eligible to take part in our career fest Propel.

INSTRUCTORS

Learn from top Industry Experts

  • Mat Leonard

    PROGRAM LEAD

    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

    CURRICULUM LEAD

    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.

  • 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.

  • 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.

  • Arpan Chakraborty

    INSTRUCTOR

    Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.

CAREER PROSPECTS

Land your dream Deep Learning career

Amazing Job Prospects

Deep Learning has 1000+ jobs posted on Naukri.com in a month

Turbocharge your salary

Deep Learning Engineers earns an average salary in the range of INR 6-20 Lakhs In India

Top-rated jobs

Deep Learning engineers empower technologies like Self Driving Car, Computer Vision and many others

Size: 3.09 GB

Download Now

https://www.udacity.com/course/deep-learning-nanodegree–nd101.

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