Download Machine Learning Lecture Notes PDF Free - Full Version
Download Machine Learning Lecture Notes by ['Vidhi Sethiya'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Machine Learning Lecture Notes
Course Content: Unit –I Introduction to machine learning, Data Preprocessing, hypothesis function, machine learning models, supervised and unsupervised learning, correlation, overfitting, underfitting, Linear Regression and Logistic Regression. Unit –II activation functions like sigmoid, ReLU, etc., weights and bias, loss function, gradient descent, multilayer network, backpropagation, unstable gradient problem, batch normalization, dropout, L1 and L2 regularization, hyperparameters. Unit –III Deep Learning, the curse of dimensionality CNN, flattening, padding, stride, convolution, pooling, loss layer, Googlenet V1, Inception Network, One-shot learning (Siamese Network). Unit –IV RNN, LSTM, CNN vs RNN, Time series, Reinforcement Learning, SVM.
Detailed Information
| Author: | ['Vidhi Sethiya'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 54 |
| Language: | English |
| Format: | |
| Price: | FREE |
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