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    Artificial Neural Networks

    This path gives a smooth introduction to this type of learning architecture which has been very successful in recent applications.

    Curated by Camillo

    Beginner Lvl 1
    8h
    5.3k
    4.6(21,556)
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    Top 3
    1. Module
    40

    DeepLearning.TV

    Concept videos showcasing the intuition behind Deep Learning methods, how to's, reviews of software libraries, applications, interviews

    Select a video that appears interesting to you.

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    40

    Deep Learning Fundamentals

    Cognitive Class

    Series of concept videos explaining the idea behind every Deep Learning method

    This short course provides a good insight and intuition on ANNs!

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    2. Module
    40

    Deep Learning Crash Course

    This course will expand upon the basic knowledge of Deep Learning to include topics such as overfitting, regularization, data collection and preprocessing, convolutional neural networks, transfer learning optimization tricks, recurrent neural networks, deep unsupervised learning, generative adversarial networks

    This short course introduces you to important technical and practical concepts of Deep Learning.

    MARK AS DONE
    Author: Leo Isikdogan   
    Time required: 8h
    Cost: 0€
    40

    Program neural networks with TensorFlow

    Google Inc.

    The Hello World of Machine Learning, Introduction to Computer Vision, Introduction to Convolutions, Convolutional Neural Networks (CNNs), Complex Images, Use CNNS with larger datasets

    This short learning paths gives you first insights into the inner workings of neural networks.

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    3. Module
    40

    MIT Deep Learning

    MIT

    These lectures have an general introduction to deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence

    The lecture on the state of the art is very interesting.

    MARK AS DONE
    Author: Lex Fridman   
    Time required: 8h
    Cost: 0€
    40

    Lex Fridman

    MIT

    This researcher has an focus on human-centered AI and autonomous vehicles.

    On his podcast you find interesting interviews with famous researchers. Listen to the ones that interest you! His lecturers provide additional information on Deep Learning. Check it out!

    MARK AS DONE
    Author: Lex Fridman   
    Time required: 8h
    Cost: 0€
    40

    Exploring Deep Learning

    Manning

    This course will introduce students to the basics of the Deep Learning. The course present the three chapters "What is Deep Learning?”, “Fundamental concepts: how do machines learn?”, “Sequence-to-sequence models for chatbots”

    These three chapter provide you a first profound insight on deep learning.

    MARK AS DONE
    Author: Andrew Trask   
    Time required: 8h
    Cost: 0€
    4. Module
    40

    Sebastian Ruder

    DeepMind

    Discussion of advanced topics and concepts

    Look for articles that interest you!

    MARK AS DONE
    Author:    
    Time required: 8h
    Cost: 0€
    40

    Intro to Deep Learning

    MIT

    This course will expand upon the basic knowledge of Deep Learning to include topics such as deep learning methods, deep sequence modeling, intro to tensorflow; music generation, deep computer vision, deep generative modeling, facial recognition systems, deep reinforcement learning, limitations and new frontiers, pixels-to-control learning

    Choose a video that interests you.

    MARK AS DONE
    Author: Ava Soleimany Alexander Amini  
    Time required: 8h
    Cost: 0€
    5. Extras