The City Of Knowledge
I explore the world using science. That's pretty much all there is to it. Watch 2 videos. If you learn something AWESOME, please subscribe if you feel like I earned it.
Created by:
John.H Claud
Generative Adversarial Networks (GANs): Introduction and Example
Text Classification with Word Embeddings
Natural Language Processing: Autoencoder - understanding Word2Vec
Image classification with Imagenet and Resnet50
Image Classification:Classifying the MNIST dataset with Convolutional Neural Networks
Training and loading a saved model.
Number of Parameters:How LSTM Parmeter Num is Computed.
Anatomy of a LSTM Node
Designing the LSTM network in Keras
Input and Output Data Construction
Batch size and Trainin Set Size
Number of Time Steps, Epochs, Training and Validation
Batch Size! which batch size is to choose?
Stateful vs. Stateless LSTMs
Introduction to Time Series Forecasting
How to deploy a real-time anomaly detector
How to implement an anomaly detector (2/2)
Introduction to Anomaly Detection
How to implement an anomaly detector (1/2)
Introduction to Pytorch: Linear Model
Computation Graph, CUDA
Math Computation and Reshape
Tensor Creation and Visualization of Higher Dimensional Tensors
PyTorch Packages
Introduction to Pytorch:PyTorch Installation
What is SystemML (2/2)
What is SystemML (1/2)
Keras Integration and Distributed Training! What is new features in Tensor Flow?
What's new features in TensorFlow 2.0? eager execution
Saving and loading models