[DL] Regularization using Dropout

Tracing the simulated annealing algorithm to optimize the weights of an AND gate artificial neuron

Time series decomposition analysis - trend, series, seasonality, and noise

How to draw effective concept maps?

NVIDIA DLI Deep Learning Certificate and University Ambassador - my experience

[DL] Some pitfalls to avoid when designing your own convolutional neural network

[DL] The convolution operation

How does convolution work?

The importance of feature engineering in machine learning and deep learning

[DL] What is deep transfer learning?

[DL] Deep transfer learning - using VGG16 convolutional base

[DL] Residual networks in deep learning

[DL] Why do residual networks work?

[DL] The purpose of "1 by 1" convolutions

[DL] How to choose a pretrained model?

[DL] Training very deep models using residual connections

[DL] Training a very deep CNN model

REALDIST: Real-valued protein distance prediction

[DL] LeNet-5 in Tensorflow Keras

[DL] Using VGG 16 pretrained model

[DL] How to prevent overfitting?

[DL] L1 and L2 regularization

[DL] Regularization using Dropout

DL Regularization using Batch Normalization

[DL] Evaluating machine learning models Measuring generalization