Deep Learning Course Online with TensorFlow

  • Become an expert in deep learning techniques using TensorFlow.
  • Learn to install and use TensorFlow, a leading machine learning library from Google.
  • Learn to train a neural network with TensorFlow.
  • Build recurrent networks for sequence generation, convolutional networks for image recognition and GAN's for image generation.
  • Stay updated in your career with lifetime access to live classes

Online Deep Learning


Self-Paced Course
$17/month
for 6 months

One-on-One Training
$67/month
for 6 months

Want to work 1 on 1 with a mentor. Choose the project track

About Online Deep Learning Course

Project Portfolio

Build an online project portfolio with your project code and video explaining your project. This is shared with recruiters.

Real world Projects

Lab will test your practical knowledge. Assignments include Regression exercises, classification exercises, Time Series exercises, and Linear Autoencoder for PCA exercises and evaluating the best models. The deep learning projects will give you a complete understanding of implementing neural networks with TensorFlow.

Lifetime Access & 24x7 Support

Once you enrol for TensorFlow deep learning course, you are welcome to participate in any future batches free. If you have any doubts, our support team will assist you in clearing your technical doubts.

Weekly 1-on-1 meetings

If you opt for the mentorship track, you will get 6 thirty minute one-on-one sessions with an experienced data scientist who will act as your mentor for the deep learning training.

Benefits of Deep Learning Online Training

How will this deep learning online course help me get jobs?

  • Display Project Experience in your interviews

    The most important interview question you will get asked is "What experience do you have?" Through ProjectPro live classes, you will learn deep learning by implementing deep learning projects with TensorFlow using Python that you can showcase to the interviewers.

  • Connect with recruiters

    You will build an online project portfolio, containing your deep learning project source code and video explaining your project. The project portfolio can be shared on your LinkedIn profile that will help you connect with recruiters if your project and background match their requirements.

  • Stay updated in your Career

    Every few weeks there is a new technology release in the machine learning domain. We organise weekly hackathons through which you can learn these new technologies by building solutions to challenging data problems. These deep learning projects get added to your portfolio and make you more marketable to companies.

What if I have any doubts?

For any doubt clearance, you can use:

  • Discussion Forum - Assistant faculty will respond within 24 hours
  • Phone call - Schedule a 30 minute phone call to clear your doubts
  • Skype - Schedule a face to face skype session to go over your doubts

Do you provide placements?

In the last module, ProjectPro faculty will assist you with:

  • Resume writing tip to showcase skills you have learnt in the course.
  • Mock interview practice and frequently asked interview questions.
  • Career guidance regarding hiring companies and open positions.

Online Deep Learning Course Curriculum

Module 1

  • NumPy Crash Course Overview
  • Pandas Crash Course
  • Data Viz Crash Course
  • SciKit Learn Overview
Module 2

  • TensorFlow Basic Syntax
  • TensorFlow Graphs
  • Variables and Placeholders
  • TF Neural Network
Module 3

  • TensorFlow Regression Example
  • TensorFlow Classification Example
  • Regression Exercise
  • Classification Exercise
Module 4

  • Regression Exercise Solution
  • Classification Exercise Solution
  • Saving and Loading Models
  • Convolutional Neural Networks
Module 5

  • Basic Manual RNN
  • RNN with TF API
  • Time Series Exercise
  • Time Series Exercise Solutions
  • Word2Vec.ipynb
Module 6

  • Simple Autoencoder for PCA
  • Linear Autoencoder for PCA Exercise
  • Linear Autoencoder for PCA Exercise Solution
  • Stacked Autoencoder
Module 7

  • Generative Adversarial Networks
  • Example on GAN

Classes for Online Deep Learning

 
  • Duration: 3 weeks
  • Hours: 40 hours of recorded videos
  • 6 one-on-one mentor meetings with an experienced mentor
  • Immersive training program
  • Learn by working on hands on projects
  • DeZyre will email certificate on successful completion of project
  • Total Fees $17/month for 6 months
  • Enroll
 

FAQs for Online Deep Learning Online Course

  • Why you should learn deep learning?

    i) A report by technology company Tencent mentions that there are about 300,000 AI practitioners across the globe but there are millions of job roles available for people with these skills.

    ii) There is expected to be a 60% increase in demand for AI and Deep Learning specialized job roles.

    iii) According to O’Reilly Media report, the enterprise adoption of deep learning is increasing at a rapid with 28% of the respondents working on deep learning projects, and 72% reported that they are in the process of experimenting with deep learning algorithms.

  • What are the objectives of deep learning with TensorFlow online course ?

    On completing this deep learning python training with TensorFlow, you will  be able to -

    i) Learn how to build your own neural network model using TensorFlow from scratch.

    ii) Build deep learning models with TensorFlow and analyse the results.

    iii) Learn to use TensorFlow for time series analysis with RNN.

    iv) Master advanced deep learning techniques such as convolutional neural networks, Generative Adversarial Networks , Linear Autoencoders , and training deep networks.

    v) Become a deep learning guru by building a comprehensive deep learning project portfolio.

  • Would this online training for deep learning with TensorFlow be theoretical or practical in nature?

    This TensorFlow course emphasizes on the practical and applied aspects of deep learning concepts. For every algorithmic implementation, the instructor would provide examples to explain how these techniques are being used in the real world.

  • What are the pre-requisites to learn TensorFlow?

    i) To learn TensorFlow from scratch, you will require some basic programming knowledge of Python and packages like Pandas and NumPy.

    ii) Having basic math knowledge on mean, standard deviation, etc. is helpful.

    iii) Familiarity with calculus and linear algebra is recommended but not mandatory.

    Taking ProjectPro’s Data Science Course will prepare you for the deep learning course with TensorFlow by providing you the required pre-requisites.

     

  • Who is the target audience for this deep learning with TensorFlow training online?
    • Anybody who is eager to try deep learning in the real-world but have not yet had first taste of applying it.
    • Students interested in deep learning – you will get all the tidbits required to implement neural networks with TensorFlow.
    • Data enthusiasts eager to learn latest deep learning techniques with TensorFlow.
  • Why should I learn deep learning from ProjectPro instead of other course providers?

    ProjectPro’s deep learning online course curriculum is comprehensive and in-depth that covers everything from basics of deep learning to implementation of advanced deep learning concepts like RNN, CNN and GAN. It is one of the best deep learning courses online developed in collaboration with certified data science professionals who have years of experience working with AI and Machine Learning technologies since their inception. The course curriculum is updated on a regular basis with latest and relevant topics.

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