Description

MasterClass – Gordon Ramsay Teaches Cooking II: Restaurant Recipes at Home

MasterClass – Gordon Ramsay Teaches Cooking II: Restaurant Recipes at Home

.MP4, AVC, 1500 kbps, 1280×720 | English, AAC, 192 kbps, 2 Ch | 4h 15m | + PDF Workbook | 3.03 GB
Cooking at home is the new going out
It’s more than dinner-it’s a dining experience. Gordon Ramsay returns with a second cooking MasterClass to teach you how to prep, plate, and pair recipes that wow guests. With 13 restaurant-inspired dishes designed for home cooking, you’ll learn how to build elevated courses from appetizer to dessert using everyday ingredients.

Cisco’s Email Security Appliance (ESA) solution. We will also discuss mitigation technologies for web-based threats such as blacklisting, URL filtering and malware scanning as implemented by Cisco’s Web Security Appliance (WSA).

To do that, you will need to use the right Deep Learning model, one that is based on a probabilistic approach.

If you succeed in this project, you will create significant added value to the bank. By applying your Deep Learning model the bank may significantly reduce customer churn.

 

In this part, you will create a Convolutional Neural Network that is able to detect various objects in images. We will implement this Deep Learning model to recognize a cat or a dog in a set of pictures. However, this model can be reused to detect anything else and we will show you how to do it – by simply changing the pictures in the input folder.

ain the same model on a set of brain images, to detect if they contain a tumor or not. But if you want to keep it fitted to cats and dogs, then you will literally be able to a take a picture of your cat or your dog, and your model will predict which pet you have. We even tested it out on Hadelin’s dog!

 

Your goal is to make an Artificial Neural Network that can predict,

based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn). Besides, you are asked to rank all the customers of the bank, based on their probability of leaving. To do that, you will need to use the right Deep Learning model, one that is based on a probabilistic approach.

If you succeed in this project, you will create significant added value to the bank. By applying your Deep Learning model the bank may significantly reduce customer churn.

 

In this part, you will create a Convolutional Neural Network that is able to detect various objects in images. We will implement this Deep Learning model to recognize a cat or a dog in a set of pictures. However, this model can be reused to detect anything else and we will show you how to do it – by simply changing the pictures in the input folder.

For example, you will be able to train the same model on a set of brain images, to detect if they contain a tumor or not. But if you want to keep it fitted to cats and dogs, then you will literally be able to a take a picture of your cat or your dog, and your model will predict which pet you have. We even tested it out on Hadelin’s dog!