Learn how to build machine learning and deep learning models for many purposes in Python using popular frameworks such as TensorFlow, PyTorch, Keras and OpenCV.
Exploring the fake news dataset, performing data analysis such as word clouds and ngrams, and fine-tuning BERT transformer to build a fake news detector in Python using transformers library.
Explore different pre-trained transformer models in transformers library to paraphrase sentences in Python.
Learn how to fine-tune the current state-of-the-art EffecientNet V2 model to perform image classification on satellite data (EuroSAT) using TensorFlow in Python.
Learn how you can generate any type of text with GPT-2 and GPT-J transformer models with the help of Huggingface transformers library in Python.
Learn how to perform automatic speech recognition (ASR) using wav2vec2 transformer with the help of Huggingface transformers library in Python
Learn how to use Huggingface transformer models to perform machine translation on various languages using transformers and PyTorch libraries in Python.
Learn how you can pretrain BERT and other transformers on the Masked Language Modeling (MLM) task on your custom dataset using Huggingface Transformers library in Python
Learn how to perform age and gender detection using OpenCV library in Python with camera or image input.
Learn how to perform gender detection on detected faces in images using OpenCV library in Python.
Learn how to predict someone's age from his front face picture using OpenCV library in Python