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An Easy Introduction to AI and Deep Learning
You, This Course and Us
You, This Course and Us (2:38)
Source Code and PDFs
Datasets for all Labs
Installation
Install TensorFlow (6:24)
Install Jupyter Notebook (4:38)
Running on the GCP vs. Running on your local machine
Lab: Setting Up A GCP Account (6:59)
Lab: Using The Cloud Shell (6:01)
Datalab ~ Jupyter (3:00)
Lab: Creating And Working On A Datalab Instance (10:29)
TensorFlow and Machine Learning
Introducing Machine Learning (8:04)
Representation Learning (10:27)
Neural Networks Introduced (7:35)
Introducing TensorFlow (7:16)
Running on the GCP vs. Running on your local machine
Lab: Simple Math Operations (8:46)
Computation Graph (10:17)
Tensors (9:02)
Lab: Tensors (5:03)
Linear Regression Intro (9:57)
Placeholders and Variables (8:44)
Lab: Placeholders (6:36)
Lab: Variables (7:49)
Lab: Linear Regression with Made-up Data (4:52)
Quiz 1: TensorFlow Basics
Working with Images
Image Processing (8:05)
Images As Tensors (8:16)
Lab: Reading and Working with Images (8:05)
Lab: Image Transformations (6:37)
Quiz 2: Images
K-Nearest-Neighbors with TensorFlow
Introducing MNIST (4:13)
K-Nearest Neigbors as Unsupervised Learning (7:42)
One-hot Notation and L1 Distance (7:31)
Steps in the K-Nearest-Neighbors Implementation (9:32)
Lab: K-Nearest-Neighbors (14:14)
Quiz 3: MNIST with K-Nearest Neighbors
Linear Regression with a Single Neuron
Learning Algorithm (10:58)
Individual Neuron (9:52)
Learning Regression (7:51)
Learning XOR (10:26)
XOR Trained (11:11)
Linear Regression in TensorFlow
Lab: Access Data from Yahoo Finance (2:49)
Non TensorFlow Regression (8:05)
Lab: Linear Regression - Setting Up a Baseline (11:18)
Gradient Descent (9:56)
Lab: Linear Regression (14:42)
Lab: Multiple Regression in TensorFlow (9:15)
Quiz 4: Linear Regression
Logistic Regression in TensorFlow
Logistic Regression Introduced (10:16)
Linear Classification (5:25)
Lab: Logistic Regression - Setting Up a Baseline (7:33)
Logit (8:33)
Softmax (11:55)
Argmax (12:13)
Lab: Logistic Regression (16:56)
Quiz 5: Logistic Regression
The Estimator API
Estimators (4:10)
Lab: Linear Regression using Estimators (7:49)
Lab: Logistic Regression using Estimators (4:54)
Quiz 6: Estimators
Neural Networks and Deep Learning
Traditional Machine Learning (6:24)
Deep Learning (9:23)
Operation of a Single Neuron (8:17)
The Activation Function (10:41)
Training a Neural Network: Back Propagation (6:40)
Lab: Automobile Price Prediction - Exploring the Dataset (11:13)
Lab: Automobile Price Prediction - Using TensorFlow for Prediction (14:35)
Hyperparameters (6:27)
Vanishing and Exploding Gradients (12:10)
The Bias-Variance Trade-off (8:26)
Preventing Overfitting (7:36)
Lab: Iris Flower Classification (12:08)
Quiz 7: Neural Networks and Deep Learning
Learning Regression
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