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
Premium Courses

Featured Deep Learning Curriculums

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Deep Agent - Multi Agent RAG with Gemini and Langchain
Verified Course

Deep Agent - Multi Agent RAG with Gemini and Langchain

Build real-world AI agents and deep research systems using Google Gemini, LangChain v1, MCP, and modern RAG techniques.

What you'll master:

  • Agent Foundations: ReAct patterns, tool calling, memory, and state management
  • Gemini + LangChain Bootcamp: Streaming, multimodal inputs, function calling, and context caching
  • MCP Finance Agent: Connect Yahoo Finance MCP server as LangChain tools for stock research
Deep Learning for Beginners with Python
Verified Course

Deep Learning for Beginners with Python

Neural Networks, TensorFlow, ANN, CNN, RNN, LSTM, Transfer Learning and Much More.

What you'll master:

  • Artificial Neural Networks (ANN): Build from mathematical foundations
  • Convolutional Neural Networks (CNN): Image processing and computer vision
  • Recurrent Neural Networks (RNN): Sequential data and time series analysis