Aamir Ahmad Ansari·Oct 28, 2021Neural Networks-Part(4): Gradient Descent1. Introduction What do you make of it? Of course, it’s from Shutterstock but what else? A climber climbing the mountain using the best-suited path to him makes more sense. Let’s reverse the situation, now the climber is descending from the top of the mountain using the best-suited path to the bottom…Machine Learning6 min readMachine Learning6 min read
Aamir Ahmad Ansari·Oct 26, 2021Neural Networks-Part(3): Introduction to Multi-Layer Neural Networks and Keras Function APIObserve this image and answer why would have been these layers added to that cake? For taste right! Each layer has its own unique taste that adds up and makes it even tastier. Similarly, in a neural network, we add layers to it so that it estimates the problem better…Machine Learning7 min readMachine Learning7 min read
Aamir Ahmad AnsariinLow Code for Data Science·Oct 21, 2021Neural Networks-Part(2): Activation FunctionsA friendly guide to the most widely used neural network activation functions — Activation Functions In the previous article Neural Networks-Part(1): Introduction to Neuron and Single Neuron Neural Network, we mentioned activation functions. Just like Optimus Prime transforms, activation functions help us transform the data each neuron has been fed before giving it to the next neuron in line. …Activation Functions6 min readActivation Functions6 min read
Aamir Ahmad AnsariinLow Code for Data Science·Oct 20, 2021Neural Networks-Part(1): Introduction to Neuron and Single Neuron Neural NetworkFrom a biological to an artificial neural network — What does this image say? Connections, networks, complexity, it does convey all of that, doesn't it? In this series, we’ll learn something similar: Neural Networks. Neural Nets originally reside in the human brain. They are very complex and powerful networks of trillions of neurons connected to each other with synapses…Artificial Intelligence5 min readArtificial Intelligence5 min read
