Functions are one of the most important elements in any language. In this course, you will learn functions that will allow you to take your Go programs to the next level.

This course introduces you to everything you need to know about package in Go, both the mechanics of how to create them and the best practices that will help your application remain clear and manageable.

Learn how to implement object detection algorithms, focusing on the YOLO (You Only Look Once) framework.

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.

Get started quickly using deep learning methods to perform image recognition.

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.

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

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.

Learn how to protect Node.js Applications from SQL Injection, CSRF, & XSS Attacks, JavaScript safety practices, and what to do when something goes wrong.