我们将向您展示如何使用 Tickmill 开立免费模拟账户
Suppose T h e t a 1 is a 5x3 matrix, and T h e t a 2 is a 我们将向您展示如何使用 Tickmill 开立免费模拟账户 我们将向您展示如何使用 Tickmill 开立免费模拟账户 4x6 matrix. You set t h e t a V e c = [ T h e t a 1 ( : ) ; T h e 我们将向您展示如何使用 Tickmill 开立免费模拟账户 t a 2 ( : ) ] . Which of the following correctly recovers T h e t a 2 ?
r e s h a p e ( t h e t a V e c ( 16 : 39 ) , 4 , 6 )我们将向您展示如何使用 Tickmill 开立免费模拟账户
r e s h a p e ( t h e t a V e c ( 15 : 38 ) , 4 , 6 )
r e s h 我们将向您展示如何使用 Tickmill 开立免费模拟账户 a p e ( t h e t a V e c ( 我们将向您展示如何使用 Tickmill 开立免费模拟账户 我们将向您展示如何使用 Tickmill 开立免费模拟账户 16 : 24 ) , 4 , 6 )
r e s h a p e ( t h e t a V e c ( 15 : 39 ) , 4 , 6 )
r e s h a p e ( t h e t a V e c ( 16 : 39 ) , 6 , 4 )
Let J ( θ ) = 我们将向您展示如何使用 Tickmill 开立免费模拟账户 2 θ 4 + 2 . Let θ = 1 , and ϵ = 0.01 . Use the formula J ( θ + ϵ ) − J ( 我们将向您展示如何使用 Tickmill 开立免费模拟账户 θ − ϵ ) 2 ϵ to numerically compute an approximation to the derivative at θ = 1 . What value do you get? (When θ = 1 , the true/exact derivative is d J ( θ ) d θ = 8 .)
Which of the following statements are true? Check all that apply.
If our neural network overfits the training set, one reasonable 我们将向您展示如何使用 Tickmill 开立免费模拟账户 step to take is to increase the regularization parameter λ .
Using a large value of λ cannot hurt the performance of your neural network; the only reason we do not set λ to be too large is to avoid numerical problems.
Gradient checking is useful if we are using gradient descent as our optimization algorithm. However, it serves little purpose if we are using one of the advanced optimization methods (such as in fminunc).
Using gradient checking can help verify if one's implementation of backpropagation is bug-free.
Which of the following statements are true? Check all that apply.
Suppose that the parameter Θ ( 1 ) is a square matrix (meaning the number of rows equals the number of columns). If we replace Θ ( 1 ) with its transpose ( Θ ( 1 ) ) T , then we have not changed the function that 我们将向您展示如何使用 Tickmill 开立免费模拟账户 the network is computing.
If we are training a neural network using gradient descent, one reasonable "debugging" step to make sure it is working is to plot J ( Θ ) as a function of the number of iterations, and make sure it is decreasing (or at least non-increasing) after each iteration.
Suppose we have a correct implementation of backpropagation, and are training a neural network using gradient descent. Suppose we plot J ( Θ ) as a function of the number of iterations, and find that it is increasing rather than decreasing. One possible cause of this is that the learning rate α is too large.
Suppose we are using gradient descent with learning rate α . For logistic regression and linear regression, J ( θ ) was a convex optimization problem and thus we did not want to choose a learning rate α that is too large. For a neural network however, J ( Θ ) may not be convex, and thus choosing a very large value of α can only speed up convergence.
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The starting state of the menu will appear collapsed on smaller screens, and will appear non-collapsed on larger screens. When toggled using the button below, the menu will change.
Make sure to keep all page content within the #page-content-wrapper . The top navbar is optional, and just for demonstration. Just create an 我们将向您展示如何使用 Tickmill 开立免费模拟账户 我们将向您展示如何使用 Tickmill 开立免费模拟账户 element with the #sidebarToggle ID which will toggle the menu when clicked.
Simple Sidebar
The starting state of the menu will appear collapsed on smaller screens, and will appear non-collapsed on larger screens. When toggled using the button below, the menu will change.
Make sure to keep all page content within the #page-content-wrapper . The top navbar is optional, and just for demonstration. Just create an element with the #sidebarToggle ID 我们将向您展示如何使用 Tickmill 开立免费模拟账户 which will toggle the menu when clicked.
我们将向您展示如何使用 Tickmill 开立免费模拟账户
To connect to any of the supported services with the AWS SDK for Java, 我们将向您展示如何使用 Tickmill 开立免费模拟账户 you must provide AWS credentials. The AWS SDKs and CLIs use provider chains to look for AWS credentials in a number of different places, including system/user environment variables and local AWS configuration files.
This topic 我们将向您展示如何使用 Tickmill 开立免费模拟账户 provides basic information about setting up your AWS credentials for local application development using the AWS SDK for Java. If you need to 我们将向您展示如何使用 Tickmill 开立免费模拟账户 我们将向您展示如何使用 Tickmill 开立免费模拟账户 set up credentials for use within an EC2 instance or if you're using the Eclipse IDE for development, refer to the following topics instead:
- When using an EC2 instance, create an IAM 我们将向您展示如何使用 Tickmill 开立免费模拟账户 role and then give your EC2 instance access to that role as shown in Using IAM Roles to Grant Access to AWS Resources 我们将向您展示如何使用 Tickmill 开立免费模拟账户 on Amazon EC2.
- Set up AWS credentials within Eclipse using the AWS Toolkit for Eclipse. See Set up AWS Credentials in the AWS Toolkit for Eclipse User Guide for more information.
Setting AWS Credentials#
Setting your credentials for use by the AWS SDK for Java can be done in a number of ways, but here are the recommended approaches:
Set credentials in the AWS credentials profile file on your local 我们将向您展示如何使用 Tickmill 开立免费模拟账户 system, located at:
- ~/.aws/credentials on Linux, macOS, or Unix
- C:\Users\USERNAME\.aws\credentials on Windows
Substitute your own AWS credentials values for the values your_access_key_id andyour_secret_access_key.
Set the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables.
To set these variables on Linux, macOS, or Unix, use export:
To set these variables on Windows, use set:
For an EC2 instance, specify an IAM role and then give your EC2 instance access to that role. See IAM Roles for Amazon EC2 in the Amazon EC2 User Guide for Linux Instances for a detailed discussion about how this works.
Once you have set your AWS credentials using one of these methods, they will be loaded automatically by the AWS SDK for Java by using the default credential provider chain. For further information about working with AWS credentials in your Java applications, see 我们将向您展示如何使用 Tickmill 开立免费模拟账户 Working with AWS Credentials.
Setting the AWS Region#
You should set a default AWS Region that will be used for accessing AWS services with the AWS SDK for Java. For the best network performance, you should choose a region that's geographically close to you (or to your customers).
If you don't select a region, then us-east-1 will be used by default.
You can use similar techniques to setting credentials to set your default AWS region:
Set the AWS region in the AWS config file on your local system, located at:
- ~/.aws/config on Linux, macOS, or Unix
- C:\Users\USERNAME\.aws\config on Windows
Substitute your desired AWS region (for example, "us-west-2") for your_aws_region.
Set the AWS_REGION environment variable.
On Linux, macOS, or Unix, use export: