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Types of Neural Network
Neural Networks are a subset of Machine Learning techniques that use Neurons and Hidden Layers to learn data and patterns in a unique way. Because of their intricate structure, Neural Networks are far more powerful than typical Machine Learning algorithms and can be employed in areas where traditional Machine Learning methods are insufficient. Distinct types of neural networks exist, each of which is employed for a different purpose.
Neural Networks can get very complex within no time you keep on adding layers in the network. There are times where we can leverage the immense research in this field by using pre-trained networks for our use.
This is called Transfer Learning. In this tutorial, we covered most of the basic neural networks and their functioning. Make sure to try these out using the Deep Learning frameworks like Keras and Tensorflow.
Learn more about neural networks, visit Learnbay.co website and check further details.
Types of Neural Network
Neural Networks are a subset of Machine Learning techniques that use Neurons and Hidden Layers to learn data and patterns in a unique way. Because of their intricate structure, Neural Networks are far more powerful than typical Machine Learning algorithms and can be employed in areas where traditional Machine Learning methods are insufficient. Distinct types of neural networks exist, each of which is employed for a different purpose.
Neural Networks can get very complex within no time you keep on adding layers in the network. There are times where we can leverage the immense research in this field by using pre-trained networks for our use.
This is called Transfer Learning. In this tutorial, we covered most of the basic neural networks and their functioning. Make sure to try these out using the Deep Learning frameworks like Keras and Tensorflow.
Learn more about neural networks, visit Learnbay.co website and check further details.