Starting a new Lecture Notes Series on 100 Days of Deep Learning
Youtube Lecture Playlist CreditsChannel Name: CampusX
So Let Us Start to This Journey of Learning
100 Days of Deep Learning By Lecture Notes together!
Lecture 5: Perceptron Trick | How to train a Perceptron | Perceptron Part 2 | Deep Learning Full Course
Lecture 7: Problem with Perceptron
Lecture 8: MLP Notation
Lecture 9: Multi Layer Perceptron | MLP Intuition
Lecture 11: Customer Churn Prediction using ANN | Keras and Tensorflow | Deep Learning Classification
Lecture 13: Graduate Admission Prediction using ANN
Lecture 20: Gradient Descent in Neural Networks | Batch vs Stochastics vs Mini Batch Gradient Descent
Lecture 23: Data Scaling in Neural Network | Feature Scaling in ANN | End to End Deep Learning Course
Lecture 26: Regularization in Deep Learning | L2 Regularization in ANN | L1 Regularization | Weight Decay in ANN
Lecture 28: Relu Variants Explained | Leaky Relu | Parametric Relu | Elu | Selu | Activation Functions Part 2
Lecture 34: SGD with Momentum Explained in Detail with Animations | Optimizers in Deep Learning Part 2
Lecture 35: Nesterov Accelerated Gradient (NAG) Explained in Detail | Animations | Optimizers in Deep Learning
Lecture 42: CNN Part 3 | Convolution Operation
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