NeuralNetworksandDeepLearning_DeepLearni.epub

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 By Pat Nakamoto Contents Introduction Neural Networks and Deep Learning Chapter 1. A brief introduction to Machine Learning Notes to this Chapter What is Machine Learning? Two main Types of Machine Learning Algorithms A practical example of Unsupervised Learning Key points of this Chapter Chapter 2. Neural Networks Notes to this Chapter What are Neural Networks? McCulloch-Pitts's Neuron Types of activation function Types of network architectures Learning processes Advantages and disadvantages Key points of this Chapter Chapter 3. Deep Learning Notes to this Chapter 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 Key points of this Chapter Chapter 4. Convolutional Neural Networks Notes to this Chapter Deep Learning......