Examples of using Linear function in English and their translations into Vietnamese
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Composition of linear functions as matrix product.
And by that, he meant that the, the number of non linear functions is enormous.
So any linear function would probably miss these points in between.
To see, let's look at the slope of the linear function if it existed.
Over here we could fit a linear function, but it's very shallow, whereas those points over here have a much steeper situation.
And the form of the hypothesis, which we use to make predictions,is this linear function.
Linear functions, and we will build on this to eventually have more complex models, and more complex learning algorithms.
And the left-hand side of the equation is not a linear function of u and its derivatives.
The composition of two linear functions is itself a linear function, and unless we use some non-linear activations, we are not computing more interesting functions. .
And plotting this in the pictures, all this means is that,we are going to predict that y is a linear function of x.
This example assumes that the naturallogarithm of a person's wage is a linear function of the number of years of education that person has acquired.
If a is zero but one of the coefficients b, c, d, or e is non-zero, the function is classified as either a quartic function, cubic function, quadratic function or linear function.
In mathematics, a linear map or linear function f(x) is a function that satisfies the following two properties:[1].
You need to consider that the amount ofenergy used for heating is not a linear function of the temperature difference.
So the total energetic cost of a brain is a simple, linear function of its number of neurons, and it turns out that the human brain costs just as much energy as you would expect.
The state-value function uses an n-tuple network,which is basically a weighted linear function of patterns observed on the board.
Since the goal of linear regression procedures is to fit a surface,which is a linear function of the X variables, as closely as possible to the observed Y variable, the residual values for the observed points can be used to devise a criterion for the“best fit.”.
The function f may also be called locally linear at x0,as it can be well approximated by a linear function near this point.
Gravity can bend space,so it can travel to extra dimensions(such as a linear function described by two unknowns) by moving through virtual time in parallel universes, so it can travel through time by gravity.
Linear extrapolation will only provide good results when used to extend the graph of an approximately linear function or not too far beyond the known data.
In fact, the system is inconsistent if and only if one of the equations of the canonical form is reduced to 0= 1.[5] Otherwise, regrouping in the right hand side all the terms of the equations but the leading ones,expresses the variables corresponding to the pivots as constants or linear functions of the other variables, if any.
In particular, if you have more features than training data points, any target y canbe perfectly modeled(on the training set) as a linear function(FOOTNOTE This is easy to see if you know some linear algebra).
For a real-valued function of a single real variable,the derivative of a function at a point generally determines the best linear approximation to the function at that point.
Maybe it's a cost function from linear regression.
This may be a linear decay function, or it may be exponential--it's not clear.
P1 No S-box is a linear or affine function of its inputs.
This was our objective function for the linear regression.
The screw of this Electric Linear Actuator has function to resist wear and corrosion.
High linear design, ALC function design, low interference to BTS.