Deep Learning - 01 Tutorial Introduction

Welcome to the first Deep Learning Tutorial video. In this tutorial video series, the users will be introduced in a gently and descriptive way on the theory behind Neural Networks and Deep Learning. This video series requires no prior knowledge on neural networks, but even people that are quite familiar with the subject will get answers to several concepts that they were taking for granted all this long. In this introductory video, the users will be introduced to the types of neural networks and their applications. 00:00 Introduction 01:08 From former experience to intelligence 04:53 Deep Learning Applications 05:33 Types of Neural Networks 08:50 Machine Learning Categories 10:04 Unsupervised Learning 12:08 Convolutional Neural Networks (CNNs) 13:14 Semantic Segmentation 14:58 Style Transfer 15:51 Reinforcement Learning 21:20 Generative Adversarial Networks (GANs) 24:53 Recurrent Neural Networks (RNNs) 27:51 Tensorflow & Pytorch 28:48 CPUs vs GPUs 32:40 Development Tools ★ Watch the entire Playlist here: https://www.youtube.com/playlist?list=PLp_FpnyDwvuCU1GN376wUXG8vROXAtiFn _______ 🏠 Website → https://anifantakis.eu 🎬 All Videos: https://anifantakis.eu/videos/ 🕮 All Articles: https://anifantakis.eu/articles/ ✅ Subscribe for more videos → https://youtube.com/ioannisanifantakis 👍 Follow me • LinkedIn: https://www.linkedin.com/in/anifantakis/ • Medium: https://ioannisanif.medium.com/ • Twitter: https://twitter.com/ioannisa • GitHub: https://github.com/ioannisa _______ #DeepLearning #NeuralNetworks #ReinforcementLearning #SemanticSegmentation #GenerativeAdversarialNetworks #GAN #GANs #ConvolutionalNeuralNetworks #CNNs #CNN #RecurrentNeuralNetworks #RNNs #RNN #SupervisedLearning #UnsupervisedLearning #AutoEncoders #TransferLearning