0:00Prof. Prabir Kumar Biswas, IIT Kharagpur · Introduction to Overfitting
“overfitting occurs when a machine learning algorithms captures or fits or fits”
0:00Prof. Prabir Kumar Biswas, IIT Kharagpur · Introduction to Overfitting
“overfitting occurs when a machine learning algorithms captures or fits or fits”
0:15Prof. Prabir Kumar Biswas, IIT Kharagpur · Understanding Overfitting
“overfitting occurs when a machine or a statistical model learns or captures”
1:13NPTEL: Practical ML with TensorFlow
“overfitting. We will initially build a baseline model, then we will build”
0:00NPTEL: Practical ML with TensorFlow
“course. In this module, we will understand underfitting and overfitting through the code.”
0:10NPTEL: Practical ML with TensorFlow
“overfitting happens when our model has excess capacity to memorize the entire”
0:30NPTEL: Practical ML with TensorFlow
“kind of learning curves we infer that the model is suffering from overfitting.”
0:30Prof. Prabir Kumar Biswas, IIT Kharagpur · Understanding Overfitting
“data. That is it whatever training data is given, it learns the”
0:40Prof. Prabir Kumar Biswas, IIT Kharagpur · Understanding Overfitting
“And as a result, it may so happen that if your training”
1:00Prof. Prabir Kumar Biswas, IIT Kharagpur · Understanding Overfitting
“network, because it learnt the training data too well, it may skip”
1:11Prof. Prabir Kumar Biswas, IIT Kharagpur · Understanding Overfitting
“And as a result, when you test or in the actual deployment”
1:23Prof. Prabir Kumar Biswas, IIT Kharagpur · Understanding Overfitting
“So, this is the problem of over The underfitting problem is just”
1:38Prof. Prabir Kumar Biswas, IIT Kharagpur · The Underfitting Problem
“case of underfitting in case of overfitting even if there are finite”
1:53Prof. Prabir Kumar Biswas, IIT Kharagpur · The Underfitting Problem
“overfitting and underfitting are not desirable in case of machine learning algorithms”
2:29IIT Madras (NPTEL) · Overfitting Explained
“when you are done with the fit you would expect the red”
2:44IIT Madras (NPTEL) · Overfitting Explained
“error is very small, we see that in points other than the”