Learn how deep learning works and how to use deep learning to design smart systems in a variety of applications. Resources include videos, examples, and documentation.
In recent years, deep learning has revolutionized the field of computer vision with algorithms that deliver super-human accuracy on the above tasks. Below is a list of popular deep neural network models used in computer vision and their open-source implementation....
a,d, Schematic for age estimation of zebrafish (a) and medaka (d): image of an embryo at a given timepoint (y hpf), raised at the temperature of interest (x °C), is compared with all timepoints (three examples are shown) at the reference temperature. Developmental age is assigned...
Examples and pretrained networks make it easy to use MATLAB for deep learning, even without knowledge of advanced computer vision algorithms or neural networks. For a free hands-on introduction to practical deep learning methods, see Deep Learning Onramp. To quickly get started deep learning, see...
. Examples of the output of this network in spelling correction are reported in Table6. According to this, all kinds of errors have been in these sentences. The network has been able to correctly identify these errors and replace the correct phrase due to the high accuracy of the learning....
Despite the related algorithms have been scarcely applied to solve real situation tasks, the state of the art already presents some examples, such as Lillicrap et al. (2015), who introduce a deep learning reinforcement algorithm that solves more than 20 simulated physics tasks, including classic ...
MACHINE learningDEEP learningARTIFICIAL intelligenceMachine learning (ML), artificial neural networks (ANNs), and deep learning (DL) are all topics that fall under the heading of artificial intelligence (AI) and have gained popularity in recent years. ML involves the application of algorithms to ...
Real-world deep learning applications are all around us, and so well integrated into products and services that users are unaware of the complex data processing that is taking place in the background. Some of these examples include: Customer service deep learning ...
DBNs were the first effective deep networks trained and used in PHM applications. Again, optimization algorithms were added to improve performance of earlier studies. Optimization is the process to maximize benefit, i.e minimize error, by selecting the best hyper parameter of the model. Examples of...
New analysis for constant learning rate: realizable case 针对上面的问题,也就是常量学习速率能不能收敛到最小值。如果是服从"zero global minimal value" (也即是全局最小值为0)这样的强假设,那么常量学习速率就可以收敛(懵逼中),而无所不能的神经网络是符合这样的假设的(再次懵逼中),不管怎么说,常量学习速率...