Curated Video
Who Was the Doctor Behind Dr Pepper?
Weird History Food is going to crack open a can and tell you the History of Dr. Pepper. While maybe not quite as popular as Coca-Cola or Pepsi, Dr. Pepper has been around just as long as its bigger rivals. But how did Dr. Pepper start?...
Curated Video
How Ben and Jerry Built Their Ice Cream Empire
Weird History is going to cool off with some history about Ben and Jerry's Ice Cream. Founded in Burlington, Vermont, Ben Cohen and Jerry Greenfield were childhood friends who decided to make an ice cream business happen. And man did it...
Curated Video
How the Backyard BBQ Became an American Pastime
Weird History Food is going to fire up the grill with the history of bbq grills. Almost every American loves that time of the year when they open up the trusty outdoor grill, throw some charcoal in, and make some delicious bbq. But when...
Curated Video
How Did Little Caesar's Become a Big Big Pizza Chain?
Weird History Food has got a Hot-n-Ready pizza video on Little Caesar's waiting for you. The company was started in the late 60s by Mike Illitch who took Little Ceasar's from a small mom-and-pop pizza parlor to a global phenomenon. Grab...
Curated Video
Discontinued Foods We Wished They Would Bring Back
Weird History Food is gonna make you nostalgic for some discontinued foods that we'd all want back. The food and beverage industry is a tricky one. For something that's so essential to human life - eating and drinking - it's still...
Curated Video
Fundamentals of Neural Networks - Lab 2 - Sequence to Sequence Stock Candlestick Forecast
This video demonstrates sequence-to-sequence stock candlestick forecast. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...
Curated Video
Fundamentals of Neural Networks - Lab 1 - RNN in Text Classification
This video demonstrates how to design a recurrent neural network or RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...
Curated Video
Fundamentals of Neural Networks - Lab 4 - Transfer Learning
This video demonstrates transfer learning. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you will start with image...
Curated Video
Fundamentals of Neural Networks - Lab 3 - Deep CNN
This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Curated Video
Fundamentals of Neural Networks - Lab 2 - Introduction to CNN
This video demonstrates the architecture and how to carry out the code using TensorFlow in collab and building a convolutional neural network. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in...
Curated Video
Fundamentals of Neural Networks - Lab 4 - Functional API
This video demonstrates functional API versus sequential API. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks where you will...
Curated Video
Fundamentals of Neural Networks - Lab 3 - Introduction to Neural Network
This video demonstrates how to use Keras TensorFlow as API to essentially design and craft the neural network architecture. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
Curated Video
Fundamentals of Neural Networks - Lab 2 - Introduction to TensorFlow — Remove the Throat-Clearing Sound in the Start of the Video
This video demonstrates some basic operations in TensorFlow such as objects and we will apply some mathematical operations to the Tensor objects. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in...
Curated Video
Fundamentals of Neural Networks - Lab 1 - Introduction to Python
This video demonstrates some of the basic commands in Python specifically the print statement, data structures, variables, and how to define a function. This clip is from the chapter "Artificial Neural Networks" of the series...
Curated Video
Fundamentals of Neural Networks - Bi-Directional RNN
Bidirectional recurrent neural networks (BRNN) connect two hidden layers of opposite directions to the same output. BRNNs are especially useful when the context of the input is needed. For example, in handwriting recognition, the...
Curated Video
Fundamentals of Neural Networks - Long Short-Term Memory (LSTM)
Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. LSTM networks are well-suited to classifying, processing, and making predictions based on time series data...
Curated Video
Fundamentals of Neural Networks - Gated Recurrent Unit (GRU)
Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks. GRUs have been shown to exhibit better performance on certain smaller and less frequent datasets. This clip is from the chapter "Recurrent Neural Networks"...
Curated Video
Fundamentals of Neural Networks - Backward Propagation Through Time
Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks. It can be used to train Elman networks. The algorithm was independently derived by numerous researchers. This clip...
Curated Video
Fundamentals of Neural Networks - Forward Propagation in RNN
The forward propagation in an RNN makes a few assumptions: 1) We assume the hyperbolic tangent activation function for the hidden layer. 2) We assume that the output is discrete as if the RNN is used to predict words or characters. This...
Curated Video
Fundamentals of Neural Networks - Language Processing
NLP is a tool for structuring data in a way that AI systems can process that deals with language. NLP uses AI to 'read' through a document and extract key information. This clip is from the chapter "Recurrent Neural Networks" of the...
Curated Video
Fundamentals of Neural Networks - Why Use RNN
A Recurrent neural network is a type of artificial neural network commonly used in speech recognition and natural language processing. Recurrent neural networks recognize data's sequential characteristics and use patterns to predict the...
Curated Video
Fundamentals of Neural Networks - Welcome to RNN
This video explains recurrent neural networks and why we want to use RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...
Curated Video
Fundamentals of Neural Networks - Lab 1 - Introduction to Convolutional 1-Dimensional
This video demonstrates convolutional operations in 1-dimension. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...
Curated Video
Fundamentals of Neural Networks - Residual Network
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. This clip is from the chapter "Convolutional Neural...