verilog coursera

experiment one: Forever Running lightsThe scan frequency is configured at 100Hz, which means that the scanning period is 10ms. The concept of the scanning cycle should be noted here. Running lights, as the name implies, the scanning period refers to

1 Modulemain ();2 Reg[5:0] A=0;3 Reg[5:0] B=0;4 Regclk=0;5 6 always@ (CLK)7 begin8a3;9b1;Ten End One A always@ (b) - begin -a2; the End - - always# -clk=~CLK; - EndmoduleSee what the above output is?Take a look at this piece of code:1

1. Open FileInteger file_id;file_id = fopen ("File_path/file_name");2. Write file: $fmonitor, $fwrite, $fdisplay, $fstrobe$fmonitor keep recording as long as there's a change.$fmonitor (file_id, "%format_char", parameter);$fmonitor (file_id, "%m:%t

Module TW (CLK,K_OR,K1,K2);Input CLK;Output K_OR,K1,K2;reg [2:0] c1,c2;Reg M1,M2;InitialBeginc1=0;c2=0;m1=0;m2=0;EndAlways @ (Posedge CLK)Beginif (c1==a) C1if (c1==1) M1=~m1;else if (c1==b) m1=~m1;endAlways @ (Negedge CLK)Beginif (c2==a) C2if (c2==1)

1. Judgment of the start-end signal --------------------------------------------- //start,stop condition judgement //--------------------- ------------------------Wire start, stop; Reg SDA1, sda2; Reg SDA11; Always @ (Posedge SCL) //Trigger

Last semester just learned the principle of single-chip microcomputer, so get started DE2 board relatively easy, RAM and ROM concept has been established earlier. After playing the call of duty after some tiredness, write a DE2 board on the SRAM on

1. Grammar Statement: Parameter data = 8 ' D14; ' Define Data 8 ' D14 Use:Data ' Data 2. Scope Parameter the file that acts on the Declaration, ' define reads from the compiler until the end of the compilation is valid, or the ' undef command

The CPLD code of the FX platform accesses the control registers realized by CPLD via the I²c bus, and the system resets and other related control. Here is the code, which implements the multi-address i²c-slaver, which can read and write access

The hardware circuit diagram is as follows: 1module Key23 (45 CLK,//50mhz67 Reset,89 row,//Line10One col,//column12Key_value//Key value1415);1617input Clk,reset;18input [3:0] row;20Output [3:0] col;22Output [3:0] key_value;2425reg [3:0] col;27reg [3

The PWM output controls an LED light and adjusts the duty ratio of the output signal to change the brightness of the LED light. Because the block module is parallel, it is very convenient to produce a clock module, which no longer needs to be

1. Signal generation and the use of Always block precautions 1.1 Do not assign a value to the same variable within a different always block. That is, when a signal appears on the It is important to note that when a signal is generated, all

5.1 Section cost FunctionThe cost function of a neural network.Review some of the concepts in neural networks:L the total number of layers of the neural network.Number of units of the SL-L layer (excluding deviation units).Category 2 Classification

You can access the Google drive containing all of the current and in-progress lecture slides for this course through the L Ink below. Lecture Slides You could find it helpful to either bookmark this page or download the slides for easy

You can access the Google drive containing all of the current and in-progress lecture slides for this course through the L Ink below. Lecture Slides You could find it helpful to either bookmark this page or download the slides for easy

This section describes the core of machine learning, the fundamental problem-the feasibility of learning. As we all know about machine learning, the ability to measure whether a machine learning algorithm is learning is not how the model behaves on

Extremely light of a semester finally passed, summer vacation intends to learn the big step down this machine learning techniques.The first lesson is the introduction of SVM, although I have learned it before, but I heard a feeling is very rewarding.

This section is about overfitting, listening to the understanding of overfitting more profound than before.First introduced the overfitting, the consequence is that Ein is very small, and eout is very large. Then the causes of overfitting are

This section is about regularization, in the optimization of the use of regularization, in class when the teacher a word, not too much explanation. After listening to this class,To understand the difference between a good university and a pheasant

-Feature ScalingWhen we are faced with multidimensional feature problems, we need to ensure that the multidimensional features have similar scales, which will help the gradient descent algorithm to converge faster.Take the housing price forecast

-Cost functionFor the training set and our assumptions, we will consider how to determine the coefficients in the assumptions.What we are going to do now is to choose the right parameters, and the selection of parameters directly affects the