Computer Vision with CNN: Basic Python, Numpy, Pandas, Matplotlib, Keras Text MLP, VGGNet, ResNet, Custom Model in Colab

Discover how to build deep learning models using JAX and Flax, leveraging modern Python libraries for high-performance machine learning.

Explore deep learning techniques using JAX and Flax, focusing on performance optimization and advanced model building.

Explore deep learning techniques using JAX and Flax, focusing on efficient model training and deployment with an emphasis on performance and scalability.

Deep Learning lies at the heart of many leading machine learning and artificial intelligence applications. This course, Deep Learning with Keras, shows you how to use Keras to quickly create powerful deep neural networks.

Learn the theory and practice of building deep neural networks with real-life image and sequence data.

Learn Deep Learning, Machine Learning and Computer Vision for Image Classification with PyTorch using Convolutional Neural Networks CNN Transfer Learning

This course is ideal for anyone who wants to learn PyTorch, starting from PyTorch basics and expanding to use PyTorch for deep learning.

This course is ideal for anyone who wants to learn PyTorch, starting from PyTorch basics and expanding to use PyTorch for deep learning.

This course is ideal for anyone who wants to learn PyTorch, starting from PyTorch basics and expanding to use PyTorch for deep learning.

Dive into deep learning with TensorFlow. Learn how to build, train, and evaluate neural networks using one of the most popular frameworks for deep learning. Understand key concepts like backpropagation, activation functions, and optimization techniques.

Build deep learning models to classify data.