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Learn Tensorflow.js and ML5.js by building Real projects - Udemy

Doelgroep: Alle niveaus
Duur: 19 colleges - 3,5 uur
Richtprijs: € 19,99
Taal: Engels
Aanbieder: Udemy

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Description                 

Growing Importance of Deep Learning & Machine Learning

Deep learning & Machine Learning underpins a lot of important and increasingly important  applications today ranging from facial recognition, to self-driving  cars, to medical diagnostics and more.     

    

Made for Anyone   

Although many courses are very mathematical or too practical in  nature, this course is completely designed for Beginners. This course is purely designed to use Javascript for Deep Learning and Machine Learning jobs.


After This Course You will be able to Do :-

  • Image Classification

  • Object Detection in Videos

  • Video/Webcam Classification

  • Transfer Learning

    • Every Project will include a frontend with it..So You will Learn END to END Process.

        

    Code As You Learn    

    This entire course is delivered using HTML,CSS & Javascript such that you  can follow along the videos and replicate the results. You can practice  and tweak the models until you truly understand every line of code as we  go along. I highly recommend you to type every line of  code when you are listening to the videos as this will help a lot in  getting used to the syntax.

        

    Gradual Learning Style   

    The thing about many guides out there is that they lack the  transition from the very basics and people often get lost or miss out  vital links that are critical in understanding certain models. Because  of this, you can see how every single topic is closely linked with one  another. In fact, at the beginning of every topic from introduction, I take the time to carefully explain how one model is simply  a modification from the previous.

         

    Mentor Availability   

    When I first started learning, I wished I had a mentor to guide me  through the basics till the advanced theories where you can publish  research papers and/or implement very complicated projects. And this  course provides you with free access to ask any question, no matter how  basic. I will be there and try my very best to answer your question.  Even if the material is covered here, I will take the effort to point  you to where you can learn here and more resources beyond this course.

                                 

    Who is the target audience?                         

    • Anyone who wants to learn deep learning and Machine learning

    • Deep learning researchers using other frameworks like TensorFlow, Keras, Torch, and Caffe

    • Any HTML &  Javascript programmer


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