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Dropout Layer in Deep Learning | Dropouts in ANN | End to End Deep Learning
CampusX
Premiered May 12, 2022
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Dropout Layers in ANN | Code Example | Regression | Classification
Regularization in Deep Learning | L2 Regularization in ANN | L1 Regularization | Weight Decay in ANN
LSTM | Long Short Term Memory | Part 1 | The What? | CampusX
Backpropagation Part 3 | The Why | Complete Deep Learning Playlist
The Perceptron Explained
Data Scaling in Neural Network | Feature Scaling in ANN | End to End Deep Learning Course
Keras Functional Model | How to build non-linear Neural Networks?
Activation Functions in Deep Learning | Sigmoid, Tanh and Relu Activation Function
What is Convolutional Neural Network (CNN) | CNN Intution
Imbalanced Data in Machine Learning | Undersampling | Oversampling | SMOTE
Gradient Descent in Neural Networks | Batch vs Stochastics vs Mini Batch Gradient Descent
Kaggle Exercise Intro to Deep Learning Overfitting and underfitting
Comparing CNN Vs ANN | CampusX
No, Einstein Didn’t Solve the Biggest Problem in Physics
Xavier/Glorat And He Weight Initialization in Deep Learning
Pretrained models in CNN | ImageNET Dataset | ILSVRC | Keras Code
Deep Learning Kaggle Exercise - Intro to Deep Learning- Deep Neural Networks
AdaGrad Explained in Detail with Animations | Optimizers in Deep Learning Part 4