ML Fundamentals

Intro to Rust-lang (Closures, the Box Pointer and Iterators)

Intro to Rustlang (Traits and Generic Types)

Matplotlib Tutorial 6 - Pie Chart

Convolutional Neural Networks (CNNs) explained

Matplotlib Tutorial 5 - Histograms

Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars

Experimental Creative Writing with the Vectorized Word, w/ Allison Parrish - #72

Training a Model - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.7

Semi-supervised Learning explained

Building Database - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.5

Matplotlib Tutorial 4 - Bar Chart

Intro to Rustlang (Vectors, HashMaps, Casting, If-Let, While-Let, and the Result Enum)

Matplotlib Tutorial 3 - Axes labels, Legend, Grid

Matplotlib Tutorial 2 - format strings in plot function

Intro to RustLang (Enums and Options)

Matplotlib Tutorial 1 - Introduction and Installation

Unsupervised Learning explained

Intro to Rustlang (Control Flow, Conditionals and Pattern Matching)

Intro to Rustlang (Structs, Methods, Functions, Related Functions and the Display/Debug Traits)

How to Create a bootable flash drive | Mount an image | Diskpart on Windows

Determining insert - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.4

Intro to Rustlang (Ownership and Borrowing)

DNS routing with Hosted Zones Explained | Amazon Web Services | AWS

Buffering dataset - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.3

Data Structure - Creating a Chatbot with Deep Learning, Python, and TensorFlow p.2

Creating a Chatbot with Deep Learning, Python, and TensorFlow p.1

Install the Waves Client

Intro to Rustlang (Strings, Tuples, Arrays, Slices and Pretty Printing)

Preprocess data for training with Keras

Create an artificial neural network with Keras

Underfitting in a Neural Network explained

Fine-tuning a Neural Network explained

Save and load a Keras model

Overfitting in a Neural Network explained

Layers in a Neural Network explained

Image preparation for CNN Image Classifier with Keras

Deep Learning explained

Supervised Learning explained

Loss in a Neural Network explained

Predicting with a Neural Network explained

Train, Test, & Validation Sets explained

How a Neural Network Learns explained

Learning Rate in a Neural Network explained

Activation Functions in a Neural Network explained

Training a Neural Network explained

Batch Size in a Neural Network explained

Deep Learning playlist overview & Machine Learning intro

Artificial Neural Networks explained