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TensorFlow 1.x Deep Learning Recipes for Artificial Intelligence Applications
CONVOLUTIONAL NEURAL NETWORKS FOR COMPUTER VISION
The Course Overview
Installation and Setup
Defining Layers for Image Recognition
Building an Image Classifier with CNNs
Building Better CNNs with Regularization
Transfer Learning
APPLICATIONS OF RECURRENT NEURAL NETWORKS
The Intuition Behind RNNs
Time Series Forecasting with RNN
Producing Word Embeddings for NLP Tasks
Processing Text Sequences with LSTM Networks
APPLICATION OF DEEP LEARNING TO AI PROBLEMS
Guessing Correlations from Scatter Plots
Introduction to Generative Adversarial Networks
Creating Images with GANs
Sequence to Sequence Models
Building a Language Translator
INTRODUCTION TO REINFORCEMENT LEARNING
Key Concepts in Reinforcement Learning
A Simple Environment and Basic Policies
Training a Neural Network Policy
Using an Intelligent Agent
Time Series Forecasting with RNN
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