In this chapter, we gained a functional overview of biological neural networks, with a small and brief preview covering concepts such as neural learning and distributed representations. We also refreshed our memory on some classic data science dilemmas that are equally relevant for neural networks as they are for other ML techniques. In the following chapter, we will finally dive into the much-anticipated learning mechanism loosely inspired by our biological neural networks, as we explore the basic architecture of an ANN. We amicably describe ANNs in such a manner because, despite aiming to work as effectively as their biological counterparts, they are not quite there yet. In the next chapter, you will go over the main implementation considerations involved in designing ANNs and progressively discover the complexity that such an endeavour entails.
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You're reading from Hands-On Neural Networks with Keras
Niloy Purkait is a technology and strategy consultant by profession. He currently resides in the Netherlands, where he offers his consulting services to local and international companies alike. He specializes in integrated solutions involving artificial intelligence, and takes pride in navigating his clients through dynamic and disruptive business environments. He has a masters in Strategic Management from Tilburg University, and a full specialization in data science from Michigan University. He has advanced industry grade certifications from IBM, in subjects like signal processing, cloud computing, machine and deep learning. He is also perusing advanced academic degrees in several related fields, and is a self-proclaimed lifelong learner.
Read more about Niloy Purkait
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Niloy Purkait is a technology and strategy consultant by profession. He currently resides in the Netherlands, where he offers his consulting services to local and international companies alike. He specializes in integrated solutions involving artificial intelligence, and takes pride in navigating his clients through dynamic and disruptive business environments. He has a masters in Strategic Management from Tilburg University, and a full specialization in data science from Michigan University. He has advanced industry grade certifications from IBM, in subjects like signal processing, cloud computing, machine and deep learning. He is also perusing advanced academic degrees in several related fields, and is a self-proclaimed lifelong learner.
Read more about Niloy Purkait