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)
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Sentiment Classification with DistilBERT
Fine-tune DistilBERT for sentiment classification using ktrain. Covers text preprocessing, DistilBERT tokenization, one-cycle training, and model deployment.
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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.
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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.
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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.
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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.
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