Dive into a comprehensive tutorial on deep learning using Python, TensorFlow, and Keras. Learn to load custom data, build convolutional neural networks, analyze and optimize models with TensorBoard, utilize trained models, and explore recurrent neural networks (RNNs). Apply these concepts to real-world scenarios, including cryptocurrency prediction, while mastering data normalization, sequence creation, and balancing techniques for RNN sequence data.
Overview
Syllabus
Deep Learning with Python, TensorFlow, and Keras tutorial.
Loading in your own data - Deep Learning basics with Python, TensorFlow and Keras p.2.
Convolutional Neural Networks - Deep Learning basics with Python, TensorFlow and Keras p.3.
Analyzing Models with TensorBoard - Deep Learning with Python, TensorFlow and Keras p.4.
Optimizing with TensorBoard - Deep Learning w/ Python, TensorFlow & Keras p.5.
How to use your trained model - Deep Learning basics with Python, TensorFlow and Keras p.6.
Recurrent Neural Networks (RNN) - Deep Learning w/ Python, TensorFlow & Keras p.7.
Cryptocurrency-predicting RNN intro - Deep Learning w/ Python, TensorFlow and Keras p.8.
Normalizing and creating sequences Crypto RNN - Deep Learning w/ Python, TensorFlow and Keras p.9.
Balancing RNN sequence data - Deep Learning w/ Python, TensorFlow and Keras p.10.
Cryptocurrency-predicting RNN Model - Deep Learning w/ Python, TensorFlow and Keras p.11.
Taught by
sentdex
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