Create an App Like Twitter Using CloudKit Instead of Parse
Learn to build a Twitter-like app using CloudKit, implementing pull-to-refresh and data sorting in a TableViewController. Gain practical skills in iOS development with Swift.
Blockchain for Beginners - Ethereum Scaling Solutions
Explore Ethereum's scalability solutions, including layer 1 and 2 approaches, sharding, sidechains, state channels, and rollups. Learn how these innovations address the scalability trilemma and enable more efficient blockchain applications.
Pre-Training U-Net Using Autoencoders - Autoencoders and Visualizing Features
Explore autoencoders, image reconstruction, and feature visualization in deep learning models through hands-on coding examples and practical demonstrations.
Classification of MNIST Sign Language Alphabets Using Deep Learning
Learn to classify hand sign language alphabets using deep learning, covering data preparation, model creation, and result analysis for 25 classes.
Skin Cancer Lesion Classification Using the HAM10000 Dataset
Learn to classify skin cancer lesions using HAM10000 dataset. Covers data preparation, model building with Auto Keras, and result analysis for 7 types of skin lesions.
What Is XGBoost and Is It Really Better Than Random Forest and Deep Learning?
Explore XGBoost's advantages over Random Forest and Deep Learning, comparing performance and understanding its unique features for machine learning tasks.
Semantic Segmentation Made Easy - Using Segmentation Models Library
Learn to implement semantic segmentation using the Segmentation Models library, covering model types, backbones, data augmentation, preprocessing, and training on electron microscopy datasets.
Text Prediction Using LSTM
Learn to train LSTM networks for English text prediction, covering data preparation, model architecture, and character-level forecasting techniques.
Pretrained CNN Features for Semantic Segmentation Using Random Forest
Explore semantic segmentation using VGG16 features and Random Forest, offering improved results for limited training data compared to U-net.
How Many Hidden Layers and Neurons Do You Need in Your Artificial Neural Network?
Explore the process of determining optimal hidden layers and neurons in neural networks through practical examples and code demonstrations.
Understanding the Training and Validation Loss Curves
Interpret loss curves from neural network training using Wisconsin breast cancer dataset. Explore various scenarios including underfitting and good fit.
Working With Imbalanced Data for ML - Demonstrated Using Liver Disease Data
Learn techniques for handling imbalanced datasets in machine learning, demonstrated using liver disease data. Covers data up-scaling, SMOTE, and ROCAUC evaluation to improve model accuracy.
Regression Using Neural Networks and Comparison to Other Models
Explore neural network regression, compare with other models, and learn practical implementation using Python for data analysis and prediction.
The Topology of Deep Neural Networks - Designing Your Model
Explore deep neural network topology and model design techniques for effective machine learning implementations.
Data Augmentation Using Keras
Explore image augmentation techniques using Keras, including reshaping and multiclass augmentation, to enhance your deep learning models.
PBR Explained for 3D Artists - Physically Based Rendering
Demystifies Physically Based Rendering for 3D artists, explaining key concepts, texture maps, and material properties to enhance shader and texture development without complex technicalities.
3D Character Design in Illustrator - Turn Your 2D Designs into 3D
Learn to transform 2D vector art into 3D character designs using Illustrator. Explore texture mapping, 3D modeling techniques, and exporting to other 3D applications for enhanced design capabilities.
How to Resize Images in Photoshop
Learn six effective methods for resizing images in Photoshop, including AI-powered techniques. Discover which approaches work best for various design and animation scenarios to optimize your workflow.
How to Prep Photoshop Files for After Effects
Learn essential techniques for preparing Photoshop files for After Effects animation, including file structure, layer management, and preserving editability, to streamline your workflow and enhance your motion design projects.
Tricks for Creating a Hand-Drawn Look in After Effects
Learn techniques to create hand-drawn animations in After Effects, including roughen edges, noise shadows, shading, and textures, for organic and visually appealing results.
Digital Painting Basics for Beginner Digital Artists - Essential Tools, Workflow, Layers & More
Learn essential digital painting tools, techniques, and workflow for beginners. Covers workspace setup, canvas creation, brushes, layers, blending modes, and a step-by-step artwork example.