Category Profile

Deep Learning

Master Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs/LSTMs), Computer Vision, and advanced architectures using PyTorch, TensorFlow, and Keras.

Deep Learning Tutorials (19)

Browse, search, and work through all available articles for this category.

RNNs, LSTMs & Time Series

7 articles
Human Activity Recognition with CNNDeep Learning
May 17, 2026 at 4:30 PM16 min read

Human Activity Recognition with CNN

Recognize human activities from accelerometer data using a 2D CNN. Covers data balancing, LabelEncoder, frame-based feature extraction, and confusion matrix.

Transfer Learning & Transformers

3 articles
Sentiment Classification Using BERTDeep Learning
May 24, 2026 at 8:15 AM6 min read

Sentiment Classification Using BERT

Fine-tune BERT for IMDB movie review sentiment classification using ktrain. Covers Transformer architecture, BERT tokenization, and one-cycle fine-tuning.

Words Embedding using GloVe VectorsDeep Learning
May 16, 2026 at 9:00 AM13 min read

Words Embedding using GloVe Vectors

Apply GloVe vectors for Twitter sentiment analysis in TensorFlow. Covers text preprocessing, GloVe embedding matrix, Conv1D model, and binary classification.

CNNs & Image Classification

7 articles
Dog vs Cat Classification with CNNDeep Learning
May 20, 2026 at 12:00 PM11 min read

Dog vs Cat Classification with CNN

Classify dog and cat images using a 2D CNN in TensorFlow 2.0. Covers VGG16 architecture, Dropout, BatchNormalization, ImageDataGenerator, and SGD optimizer.

2D CNN on CIFAR-10 with TensorFlow 2.0Deep Learning
May 18, 2026 at 10:30 AM6 min read

2D CNN on CIFAR-10 with TensorFlow 2.0

Train a 2D Convolutional Neural Network on CIFAR-10 using TensorFlow 2.0. Covers Conv2D, MaxPooling, Dropout, model training, and confusion matrix evaluation.

Credit Card Fraud Detection using CNNDeep Learning
May 18, 2026 at 9:00 AM11 min read

Credit Card Fraud Detection using CNN

Detect fraudulent credit card transactions using a 1D CNN in TensorFlow. Covers dataset balancing, StandardScaler, Conv1D, BatchNormalization, and MaxPool1D.

Breast Cancer Detection Using CNNDeep Learning
May 16, 2026 at 10:30 AM10 min read

Breast Cancer Detection Using CNN

Detect breast cancer using a 1D CNN in TensorFlow 2.0. Covers Conv1D, BatchNormalization, Dropout, Adam optimizer, and binary classification on medical data.

Getting Started

2 articles