Lasagne Lite
Lasagne Lite

Hello everybody, I hope you’re having an incredible day today. Today, I’m gonna show you how to prepare a distinctive dish, lasagne lite. One of my favorites. For mine, I will make it a little bit unique. This is gonna smell and look delicious.

import lasagne import theano import theano.tensor as T #. create Theano variables for input and target create a small convolutional neural network from lasagne.nonlinearities import leaky_rectify. Lasagne has a couple of prerequisites that need to be installed first, but it is not very picky about versions. The single exception is Theano: Due to its tight coupling to Theano. Tasty The official YouTube channel of all things Tasty, the world's largest food network.

Lasagne Lite is one of the most well liked of recent trending meals in the world. It is enjoyed by millions daily. It’s simple, it’s quick, it tastes yummy. They are nice and they look wonderful. Lasagne Lite is something which I have loved my whole life.

To get started with this particular recipe, we must first prepare a few ingredients. You can have lasagne lite using 17 ingredients and 4 steps. Here is how you cook that.

The ingredients needed to make Lasagne Lite:
  1. Prepare 500 g ground beef low fat (<5%) / 17½ oz .
  2. Prepare 200 g pasta dried sheets / 7 oz .
  3. Prepare 250 g onion (diced) / 9 oz .
  4. Make ready 100 g carrot (diced) / 3½ oz .
  5. Make ready 100 g celery (diced) / 3½ oz .
  6. Take 200 g mushroom (diced) / 7 oz .
  7. Prepare 2 cloves garlic (finely chopped)
  8. Make ready 400 g tomatoes chopped Italian / 14 oz . tins
  9. Get 1 beef stock cube
  10. Prepare 2 tablespoons tomato purée
  11. Take 75 g cheddar cheese low fat (grated) / 2½ oz .
  12. Prepare 2 teaspoons dried Italian herbs
  13. Prepare 250 g cauliflower florets / 9 oz .
  14. Get 250 g ricotta cheese / 9 oz .
  15. Prepare 2 eggs large
  16. Take “ Spray2Cook ” ( a word used
  17. Get describe any low - cal . non - stick cook ’ s oil spray )

Who doesn't love a rich and delicious lasagne? Classic Eggplant Lasagna that's full of cheesy goodness, without the pasta! Great for a gluten-free lasagna option or just for sneaking in a healthy vegetable. Lasagne is a lightweight library to build and train neural networks in Theano.

Instructions to make Lasagne Lite:
  1. Put the cauliflower in a pan of boiling water until soft. Drain and transfer to a food processor. Process the cauliflower until it is a creamy consistency then add in the eggs and ricotta and continue to process to combine to produce a white sauce.
  2. Pre-heat an oven (200oC / 400oF / Gas Mark 6).
  3. Microwave the onion, carrot and celery for 6 minutes. Put a large fry pan on a medium to high heat. Spray with Spray2Cook and when warm add the garlic then add the ground beef to fry off until the beef is browned all over. Add the microwaved vegetables and mushroom. Add the tomatoes, tomato purée, stock cube and herb. Bring to boil and then turn down to a simmer for 12 minutes.
  4. Spray a deep ovenproof dish with Spray2Cook and spread half the beef and vegetable mix over the base. Place a layer on pasta sheets over the mix the spread over half the white sauce. Repeat this three-layer operation. Sprinkle with the grated cheese. Put the dish in the oven for 30 minutes. Serve immediately

Great for a gluten-free lasagna option or just for sneaking in a healthy vegetable. Lasagne is a lightweight library to build and train neural networks in Theano. Its main features are: Supports feed-forward networks such as Convolutional Neural Networks (CNNs), recurrent networks. Your ingredient options when making lasagna are virtually endless. You can make vegetarian lasagna, a meat lover's lasagna, or lasagna with all the works, packed with your.

So that is going to wrap this up with this special food lasagne lite recipe. Thank you very much for reading. I’m sure that you can make this at home. There is gonna be more interesting food at home recipes coming up. Remember to save this page on your browser, and share it to your family, friends and colleague. Thanks again for reading. Go on get cooking!