Tutorial 109 - Regression using deep learning

Tutorial 110 - Binary Classification using Deep Learning

Tutorial 124 - Using pretrained models as encoders in U-Net

141 - Regression using Neural Networks and comparison to other models

Tutorial 111 - Multiclass Classification using deep learning

Convolutional Neural Network from Scratch | Mathematics & Python Code

All Machine Learning algorithms explained in 17 min

Tutorial 79 - Image segmentation using traditional Machine Learning - Part 1

But what is a neural network? | Deep learning chapter 1

Tutorial 90 - Setting up your free Google Colab account for deep learning

MIT 6.S191: Convolutional Neural Networks

Tutorial 125 - Using pretrained deep learning model as feature extractor for XGBoost segmentation

Tutorial 117 - Building your own U-Net using encoder and decoder blocks

Tutorial 57 - Nuclei (cell) segmentation in python using watershed

Tutorial 92 - Setting up your Anaconda Spyder environment for deep learning

Simple explanation of convolutional neural network | Deep Learning Tutorial 23 (Tensorflow & Python)

Tutorial 123 - Deep learning architectures and benefits via transfer learning

Tutorial 119 - Multiclass semantic segmentation using U-Net (in Keras)

Tutorial 121 - Loading data directly from drive to train U-Net for semantic segmentation

Artificial neural networks (ANN) - explained super simple

Time Series Forecasting with XGBoost - Use python and machine learning to predict energy consumption