Best Machine Learning Books for Beginners
Machine Learning Books for everyone. You can download them and read them to improve your knowledge base. Free books are included. Sharing is caring.
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Neural Network
Classify Handwritten Digits using Neural Networks
Classify Handwritten Digits using Neural Networks and Python. Here, you’ll learn to build an ANN and CNN to classify Handwritten Digits with 98% Accuracy.
Read moreHow to Implement AND Function using McCulloch Pitts Neuron?
Implement AND function using McCulloch Pitts Neuron. In the AND function the output will be High if both the inputs are high.
Read moreWhat is Activation Function in Neural Networks?
Activation function in Neural Networks plays a major role. It decides a neuron will fire or not with the help of the Threshold value.
Read moreWhat is Bias in Artificial Neural Networks?
The Bias included in the network has its impact on calculating the net input. The bias is included by adding a value X0=1 to the input vector X. Hence W0=b.
Read moreMachine Learning Important Terms You should know
There are many Important Terms in Machine Learning, learn them on by one. Without knowing these thing you know nothing about Machine Learning.
Read moreBest Computer Vision Course – Sorted
Find Top Computer Vision Course, No NEED to SEARCH on Google, Choose any course based on their Theory and Practical content.
Read moreWhat is Perceptron Learning Algorithm in Neural Networks
Perceptron Learning Algorithm is an algorithm or a way to train the weights of the Perceptron. This was proposed by Minsky and Papert in 1969.
Read moreWhat is Perceptron in Neural Networks
Perceptron is more general computational model than McCulloch Pitts Neuron. It has Numerical Weights for inputs and a mechanism for learning these Weights.
Read moreMcculloch Pitts Neuron Explanation – Simplest Way
Mcculloch Pitts Neuron can be used to represent Boolean functions which are linearly separable. This is the First Artificial Neural Model in A.I.
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