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: • Deep Learning Tutorial...
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#DeepLearning #NeuralNetworks #ReinforcementLearning #SemanticSegmentation #GenerativeAdversarialNetworks #GAN #GANs #ConvolutionalNeuralNetworks #CNNs #CNN #RecurrentNeuralNetworks #RNNs #RNN #SupervisedLearning #UnsupervisedLearning #AutoEncoders #TransferLearning

[@khubaibraza8446]

Thank you so much for a great introduction, but one suggestion you need to improve your microphone its noisy

[@IoannisAnifantakis]

Thank you for your kind words. Yes, I noticed that too and from the 2nd video and on of the series the sound has been taken care of.