Decryption deep learning 　　 1.1. The development of artificial intelligence has been fluctuating along with the progress of artificial neural network research. The history of the entire artificial intelligence development has almost always fluctuated along with the progress of artificial neural network research. In the near future, the deep learning of artificial intelligence has a new round of enthusiasm. The “depth†in its name refers to the number of layers of artificial neural networks. Deep learning is essentially a machine learning algorithm based on multi-layer artificial neural networks. 1.2. What is artificial neural network? The information activity of the human brain has three distinct characteristics compared to current computers: First, massive parallelism and fault tolerance. There are about 100 billion neurons in the human brain. There are about one trillion synaptic connections between neurons, which form a labyrinthine network connection. A large number of neuron information activities are carried out simultaneously, instead of the current computer according to the instructions. Execution. In addition, this massive parallelism of the human brain also makes it extremely fault-tolerant. A broken transistor can destroy a microprocessor, but the brain's neurons die all the time. Second, the information processing and storage unit are combined. At present, the computer generally adopts the von Loyman architecture, and the memory and the processor are separated, and the data is transmitted through the bus. As the amount of processed data grows massively, the limited data transfer rate of the bus is called the “von Neumann bottleneckâ€, which seriously affects the computational efficiency and power consumption of the computer. The human brain information processing and storage unit are combined and have Very low power consumption (about 20W or so). Third, self-organizing self-learning functions. The brain learns and changes while interacting with the outside world, rather than the fixed path and branching of the computer that follows the preset algorithm. Based on the above points, people have been trying to imitate the information activity mechanism of human brain neurons to design algorithms: signals enter the neuron cells through synapses, and the nerve cells use a way to make all the signals coming in from the dendrites. Plus, if the sum of all the signals exceeds a certain threshold, the neuronal cells will be excited into an excited state, and an electrical signal will be sent out through the axons to other nerve cells. If the sum of the signals does not reach the threshold, the nerve cells will not be excited and will not transmit signals. A simple artificial neuron mathematical model is to let each signal input to the neuron be weighted and summed. If it is added, if it exceeds the set threshold, it will output "1", and if it is not, it will output "0". Such a combination of several simplest neuron inputs and outputs constitutes a complex artificial neural network.
Function description
The socket is ordinary converter,with
two output 5V2A power USB power supply at the same time,can be very
convenient in use electrical appliances and recharge the equipment at
the same time,such as digital products like Iphone Ipad,MP3,MP4 etc.The
charge apply to full range of international AC output,no-load power
consumption less than 0.3W,with short circuit,overload,over-voltage
protection,can be convenient for your life and save more energy
Timer Control Time Adgustment
1.Press the power switch 1 time,the 1HOUR LED will light on.The Timer into ON mode,USB and control socket output ON .
2.Continuously press the power switch
the LED light on,the Countdown mode and LED light on will cycle change
from 1HR,2HR,4HR,6HR,8HR,10HR.
3.Choose you need countdown time
mode,the mode LED will lighto on,start countdown until countdown time
finish,the control output and USB change to OFF
4.Then the countdown is start,The Time indicate LED will from high to low auto change until Countdown finish off.
Failure analysis:
1.check whether the power supply connection is good
2.check whether the USB cable is loosen
Warning Note:
1.Use indoor and dry location ONLY
2.The load max does not exceed 15A 3600W
3.This product does not convert voltage please do not miss use DO NOT exceed the maximum loading of 3600 Watts 15A
4.Always have earth connection for safety reason
5.If in doubt please consult with a qualified electrician
USB Charger Socket, Fast Charge USB Wall Socket, USB Plug Socket, USB Socket Charger, Socket USB charger NINGBO COWELL ELECTRONICS & TECHNOLOGY CO., LTD , https://www.cowellsockets.com