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Introduction
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Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks :)
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Installing TensorFlow and Environment Setup
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Machine Learning Overview
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Crash Course Section Introduction
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NumPy Crash Course
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Pandas Crash Course
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Data Visualization Crash Course
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SciKit Learn Preprocessing Overview
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Crash Course Review Exercise
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Crash Course Review Exercise - Solutions
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Introduction to Neural Networks
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Introduction to Perceptron
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Neural Network Activation Functions
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Cost Functions
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TensorFlow Playground
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Manual Creation of Neural Network - Part One
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Manual Creation of Neural Network - Part Two - Operations
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Manual Creation of Neural Network - Part Three - Placeholders and Variables
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Manual Creation of Neural Network - Part Four - Session
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Introduction to TensorFlow
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TensorFlow Basic Syntax
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TensorFlow Graphs
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Variables and Placeholders
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TensorFlow - A Neural Network - Part One
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TensorFlow - A Neural Network - Part Two
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TensorFlow Regression Example - Part One
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TensorFlow Regression Example _ Part Two
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TensorFlow Classification Example - Part One
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TensorFlow Classification Example - Part Two
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TF Regression Exercise
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TF Regression Exercise Solution Walkthrough
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TF Classification Exercise
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TF Classification Exercise Solution Walkthrough
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Saving and Restoring Models
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Introduction to Convolutional Neural Network Section
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Review of Neural Networks
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New Theory Topics
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MNIST Data Overview
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MNIST Basic Approach Part One
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MNIST Basic Approach Part Two
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CNN Theory Part One
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CNN Theory Part Two
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CNN MNIST Code Along - Part One
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CNN MNIST Code Along - Part Two
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Introduction to CNN Project
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CNN Project Exercise Solution - Part One
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CNN Project Exercise Solution - Part Two
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Introduction to RNN Section
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RNN Theory
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Manual Creation of RNN
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LSTM and GRU Theory
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Introduction to RNN with TensorFlow API
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RNN with TensorFlow - Part One
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RNN with TensorFlow - Part Two
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RNN with TensorFlow - Part Three
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Time Series Exercise Overview
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Time Series Exercise Solution
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Quick Note on Word2Vec
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Word2Vec Theory
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Word2Vec Code Along - Part One
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Word2Vec Part Two
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Deep Nets with Tensorflow Abstractions API - Part One
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Deep Nets with Tensorflow Abstractions API - Estimator API
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Deep Nets with Tensorflow Abstractions API - Keras
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Deep Nets with Tensorflow Abstractions API - Layers
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Tensorboard
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Autoencoder Basics
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Dimensionality Reduction with Linear Autoencoder
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Linear Autoencoder PCA Exercise Overview
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Linear Autoencoder PCA Exercise Solutions
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Stacked Autoencoder
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Introduction to Reinforcement Learning with OpenAI Gym
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Introduction to OpenAI Gym
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OpenAI Gym Steup
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Open AI Gym Env Basics
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Open AI Gym Observations
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OpenAI Gym Actions
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Simple Neural Network Game
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