Neural Networks and Deep Learning: Neural Networks & Deep Learning, Deep Learning, Blockchain Blueprint

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About Neural Networks And Deep Learning: Neural Networks

Ready to crank up a deep neural network to get your self-driving car pick up the kids from school? Want to add 'Neural Networks’ and ‘Deep Learning’ to your LinkedIn profile?Well, hold on there...Before you embark on your epic journey into the world of deep learning, there is basic theory to march through first! Check out this exceptional bundle of 3 books…This bundle contains 3 books: Book 1: Neural Networks & Deep Learning: Deep Learning explained to your granny – A visual introduction for beginners who want to make their own Deep Learning Neural Network…What you will gain from this book:* A deep understanding of how Deep Learning works* A basics comprehension on how to build a Deep Neural Network from scratchWho this book is for:* Beginners who want to approach the topic, but are too afraid of complex math to start!* Two main Types of Machine Learning Algorithms* A practical example of Unsupervised Learning* What are Neural Networks?* McCulloch-Pitts's Neuron* Types of activation function* Types of network architectures* Learning processes* Advantages and disadvantages* Let us give a memory to our Neural Network* The example of book writing Software* Deep learning: the ability of learning to learn* How does Deep Learning work?* Main architectures and algorithms* Main types of DNN* Available Frameworks and libraries* Convolutional Neural Networks* Tunnel Vision* Convolution* The right Architecture for a Neural Network* Test your Neural Network* A general overview of Deep Learning* What are the limits of Deep Learning?* Deep Learning: the basics* Layers, Learning paradigms, Training, Validation* Main architectures and algorithms* Models for Deep Learning* Probabil