Explore deep learning techniques and frameworks for building and training neural networks.

Deep Learning, What is deep learning ?, How deep learning works, How do artificial intelligence, machine learning, neural networks, and deep learning relate ?, Deep learning applications and more

Deep Learning and Data Science using Python and Keras Library - Beginner to Professional - The Complete Guide

This course aims to equip you with the techniques to train the DL models, convert them to the TF Lite format, and deploy these models into your Android apps.

Image Semantic Segmentation for Computer Vision with PyTorch and Python to Train and Deploy YOUR own Models (UNet, DeepLab)

Explore advanced deep learning topics that integrate computer vision and natural language processing.

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

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

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.

Build deep learning models to classify data.

Classify image data with deep learning.