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Why Neural Networks Slept for Decades Before Deep Learning Took Over?

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  Why Neural Networks Slept for Decades Before Deep Learning Took Over? Work on Deep Learning started from 1960s but it actually got famous around 2012. There are few reasons for this which are as following: 1. Datasets: Deep Learning is data hungry . It thrives only when massive amounts of data are available. After 2010, the world started generating data at an unprecedented scale.....thanks to smartphones, social media, sensors, and the internet boom. But raw data alone isn’t enough. For Deep Learning models to truly learn and understand, they need labeled data ..... examples tagged with the correct answers. The rise of large, labeled datasets gave researchers the fuel they needed to train powerful models. Now, data isn’t just numbers. It comes in every form.....audio, video, text, and images. With this variety and scale, Deep Learning research accelerated rapidly, making breakthroughs in fields from computer vision to natural language processing. 2. Hardware: Another key reason ...
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What is Deep Learning?

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  What is Deep Learning? Deep Learning is actually subfield of Artificial Intelligence and Machine Learning that is inspired by human brain. To understand this have a look at the following diagram: Machine Learning learn from data that contains input and output but for this relationship, ML algorithm depends on statistical techniques whereas Deep Learning depends on logical structure called neural network inspired by human brain.  So we can define Deep Learning as: Deep Learning is a part of a broader family of machine learning methods based on artificial neural networks with representation learning. Deep Learning algorithms uses multiple layers to progressively extract higher-level features from the raw input. Why the name "Deep Learning"? Because of lots of hidden layers being used here, the network becomes deep, hence the name deep learning.   What is Representation Learning? Now the question is what is actually representation learning? Deep Learning, unlike Machine Le...
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Why I'm Starting this Blog?

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  Why I’m Starting This Deep Learning Blog? When you hear the term deep learning , it can feel like something straight out of a sci-fi movie like machines using their intelligence to think and make decisions. It almost seems like magic, doesn’t it? That curiosity is what pulled me in. I started my journey by learning Python, then moved on to Machine Learning, and finally stepped into the world of Deep Learning. I’m still learning, but I want to share my journey, my work, and my knowledge through this blog so you can learn alongside me. This space is especially for those who feel stuck , unsure of where or how to start. I want to motivate you, guide you, and show that even beginners can take their first step into this fascinating field. This blog isn’t just about sharing knowledge; it’s about sharing the journey. So, whether you’re completely new or just looking for direction, let’s start this adventure together. What will you find in this blog? I’ll be sharing my daily learnings...
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