By - Bizz Gossips

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5 Facts About Deep Learning 

By - Bizz Gossips

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Deep learning is a subfield of artificial intelligence (AI) and machine learning (ML) that has gained significant attention and has led to remarkable advancements in various applications. 

Deep learning primarily relies on artificial neural networks, which are inspired by the structure and function of the human brain. These networks consist of interconnected layers of nodes (neurons) that process and learn from data.

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1. Neural Network

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The term "deep" in deep learning refers to the presence of multiple hidden layers within a neural network. Deep networks have more layers, allowing them to learn complex and abstract features from data.

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2. Depth of Network

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Transfer learning is a technique where pre-trained deep learning models are fine-tuned for specific tasks. This approach saves both time and resources in training new models from scratch.

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3. Transfer Learning

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Deep learning models can be used for unsupervised learning, where they can discover patterns and structures in data without the need for labeled examples.

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4. Unsupervised Learning

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RNNs are used for sequential data processing and can handle tasks like natural language processing, speech recognition, and time series prediction.

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5. Recurrent Neural Networks 

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