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PyTorch
Scikit-Learn
Fast.ai
CNN
Autoencoder
Keras
TensorFlow
Classification
GAN
Genetic Algorithm with PyGAD
Easily implement the genetic algorithm
Genetic Algorithm
Play Super Mario Bros with a Double Deep Q-Network
Train an Agent to Play Super Mario Bros
Build an Autoencoder from Scratch in Keras
Build a VAE in Keras that can encode and decode images
Autoencoder
TensorFlow Callback Functions
The 10 essential callback functions in TensorFlow
TensorFlow
Image Super-Resolution
Make low resolution images high resolution using ESPCN
Image Processing
Attention Mechanisms in Computer Vision
Various models with attention mechanisms
CNN
Optimizers in Deep Learning
Visualize and compare different optimizers like Adam, AdaGrad, and more.
PyTorch
Funnel Activation (FReLU) for Visual Recognition
See the novel FReLU activation function in action with PyTorch
CNN
Working with Data in PyTorch
Master the Dataloader Class in PyTorch
PyTorch
Fine-Tuning Shallow Neural Networks with Keras
Achieve state-of-the-art image classification without the long training times
Keras
Answer COVID-19 Questions Using BERT
Train Bio-BERT to answer questions regarding COVID-19
PyTorch
Time Series Analysis and Forecasting
Stationarity, autoregressive models, LSTM, and more
LSTM
Guide to TensorFlow and Keras
Learn how to work with these fundamental DL frameworks
TensorFlow
Text Summarization With Seq2Seq Models
Summarize long texts using seq2seq models with Keras
Object Detection With Detectron2
Train Detectron2 on custom object detection data
Classification
Neural Machine Translation With Keras
Use an RNN with attention to translate French to English
Language
Question-Answering Models
Run and compare different QA models with Hugging Face
Language
YOLOv5
Train YOLOv5 on your own custom data
Image Processing
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