Lasagne Lite
Lasagne Lite

Hey everyone, it’s John, welcome to our recipe site. Today, I will show you a way to prepare a special dish, lasagne lite. It is one of my favorites. For mine, I am going to make it a bit tasty. 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 popular of current trending meals on earth. It’s appreciated by millions daily. It is simple, it is fast, it tastes delicious. Lasagne Lite is something that I’ve loved my whole life. They are fine and they look fantastic.

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

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

Steps 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 for this special food lasagne lite recipe. Thanks so much for reading. I’m sure that you will make this at home. There’s gonna be interesting food in home recipes coming up. Remember to save this page in your browser, and share it to your loved ones, friends and colleague. Thanks again for reading. Go on get cooking!