Deep LearningSep 20, 20205 min read
Image Classification with Pre-trained VGG-16
Classify objects using the pre-trained VGG-16 model in Keras. Covers VGG architecture, loading ImageNet weights, image preprocessing, and top-5 predictions.
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.
CNNs & Image Classification
7 articlesDeep Learning
Deep LearningSep 7, 202021 min read
Multi-Label Movie Poster Classification with CNN
Classify movie genres from poster images using a 2D CNN. Covers multi-label classification, ImageDataGenerator, Conv2D with BatchNorm, and sigmoid output.
Deep LearningSep 6, 202019 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.
Deep LearningSep 5, 202022 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.
Deep LearningSep 4, 202024 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.
Deep LearningSep 3, 202026 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.
Deep LearningAug 29, 202029 min read
Customer Satisfaction Prediction with CNN
Predict bank customer satisfaction using a 1D CNN in TensorFlow. Covers feature selection, StandardScaler, Conv1D layers, and binary classification training.
RNNs, LSTMs & Time Series
7 articles
Deep LearningAug 31, 202030 min read
Text Generation using Tensorflow, Keras and LSTM
Generate Shakespearean text using stacked LSTM in TensorFlow. Covers corpus cleaning, tokenization, sequence preparation, Embedding layer, and word prediction.
Deep LearningAug 29, 202018 min read
Airline Passenger Prediction using RNN - LSTM
Predict airline passenger numbers using an LSTM in TensorFlow. Covers time-series data preparation, MinMaxScaler, look-back windows, and LSTM regression.
Deep LearningAug 28, 202030 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.
Deep LearningAug 28, 202030 min read
Multi-Step Time Series Prediction with LSTM
Predict household power consumption for the next week using LSTM. Covers multivariate time-series preprocessing, MinMaxScaler, and multi-step LSTM forecasting.
Deep LearningAug 24, 202020 min read
Google Stock Price Prediction using RNN - LSTM
Predict Google stock prices using a stacked LSTM in TensorFlow. Covers RNN concepts, MinMaxScaler, data windowing, LSTM layers, and time-series visualization.
Deep LearningAug 23, 202016 min read
IMDB Sentiment Classification with LSTM
Classify IMDB reviews as positive or negative using LSTM. Covers word-to-integer encoding, pad sequences, Embedding layer, LSTM, and binary classification.
Deep LearningAug 9, 202019 min read
Poetry Generation with TensorFlow and LSTM
Generate poetry with TensorFlow and LSTM. Covers tokenization, sequence preparation, Embedding layers, stacked LSTM training, and next-word prediction.
Transfer Learning & Transformers
3 articles
Deep LearningAug 28, 202028 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.
Deep LearningAug 25, 202015 min read
Sentiment Classification with DistilBERT
Fine-tune DistilBERT for sentiment classification using ktrain. Covers text preprocessing, DistilBERT tokenization, one-cycle training, and model deployment.
Deep LearningAug 23, 202020 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.
Getting Started
2 articles
Deep LearningAug 27, 202021 min read
Building Your First ANN with TensorFlow 2.0
Build your first ANN with TensorFlow 2.0 and Keras. Covers activation functions, optimizers, backpropagation, and binary classification on tabular data.
Deep LearningAug 27, 202030 min read
Getting Started with TensorFlow 2.0 and Keras
Get started with TensorFlow 2.0 by classifying Fashion MNIST images. Covers sequential models, Dense layers, ReLU activation, training, and prediction.