Welcome to the repository for the course "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" offered by Deeplearning.AI on Coursera. This repository contains ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

AI and deep learning are pretty hot technologies right now, what with the accelerating interest in computer vision, image recognition and classification, natural language processing (NLP), and speech ...

This article we will walk you through and compare the code usability and ease to use of TensorFlow and PyTorch on the most widely used MNIST dataset to classify handwritten digits. Two of the most ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

Welcome to the Deep Learning with Keras and TensorFlow repository! This repository is designed to provide a comprehensive introduction to deep learning using the Keras and TensorFlow frameworks. The ...

Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs What makes Google Google? Arguably it is machine ...

Transfer Learning is the approach of making use of an already trained deep learning model along with its weights for a related task A good deep learning model has a carefully carved architecture. It ...