In today’s video, NeuralNine going to build an intelligent AI chatbot using neural networks and natural language processing in Python.
deeplizard demonstrates how to use data augmentation on images using TensorFlow’s Keras API.
VIDEO SECTIONS
- 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources
- 00:17 Introduction to Data Augmentation
- 01:32 Image Augmentation with Keras
- 08:16 Collective Intelligence and the DEEPLIZARD HIVEMIND
In this episode, Mandy from deeplizard will be building on what we’ve learned about MobileNet combined with the techniques we’ve used for fine-tuning to fine-tune MobileNet for a custom image data set using TensorFlow’s Keras API.
In this deeplizard episode, learn how to prepare and process our own custom data set of sign language digits, which will be used to train our fine-tuned MobileNet model in a future episode.
VIDEO SECTIONS
- 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources
- 00:40 Obtain the Data
- 01:30 Organize the Data
- 09:42 Process the Data
- 13:11 Collective Intelligence and the DEEPLIZARD HIVEMIND
deeplizard introduces MobileNets, a class of light weight deep convolutional neural networks that are vastly smaller in size and faster in performance than many other popular models.
VIDEO SECTIONS
- 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources
- 00:17 Intro to MobileNets
- 02:56 Accessing MobileNet with Keras
- 07:25 Getting Predictions from MobileNet
- 13:32 Collective Intelligence and the DEEPLIZARD HIVEMIND
vcubingx provides a visual introduction to the structure of an artificial neural network.
The Neural Network, A Visual Introduction | Visualizing Deep Learning, Chapter 1
- 0:00 Intro
- 1:55 One input Perceptron
- 3:30 Two input Perceptron
- 4:40 Three input Perceptron
- 5:17 Activation Functions
- 6:58 Neural Network
- 9:45 Visualizing 2-2-2 Network
- 10:59 Visualizing 2-3-2 Network
- 12:33 Classification
- 13:05 Outro
In this video, Mandy from deeplizard demonstrates how to use the fine-tuned VGG16 Keras model that we trained in the last episode to predict on images of cats and dogs in our test set.
Index:
- 00:00 Welcome to DEEPLIZARD – Go to deeplizard.com for learning resources
- 00:17 Predict with a Fine-tuned Model
- 05:40 Plot Predictions With A Confusion Matrix
- 05:16 Collective Intelligence and the DEEPLIZARD HIVEMIND
In this video, Mandy from deeplizard demonstrate how to fine-tune a pre-trained model called VGG16 to classify images as cats and dogs.
GPT-3 has 175 billion parameters/synapses and produces astonishing results.
Human brain has 100 trillion synapses. How much will it cost to train a language model the size of the human brain?
Lex Fridman works through the math.
In this episode, deeplizard demonstrates the various ways of saving and loading a Sequential model using TensorFlow’s Keras API.