- TensorFlow 2 and Keras - Quick Start Guide
- Build your first Neural Network
- Heart Disease Prediction
- Cryptocurrency price prediction using LSTMs
- Practical Guide to Handling Imbalanced Datasets
- Hacker's Guide to Fixing Underfitting and Overfitting Models
- Hacker's Guide to Hyperparameter Tuning
- Deploy a Keras Deep Learning Project to Production with Flask
- Hacker's Guide to Data Preparation for Machine Learning
- Hacker's Guide to Fundamental Machine Learning Algorithms
- Time Series Forecasting with LSTMs
- Time Series Demand Prediction with LSTMs
- Time Series Classification for Human Activity Recognition with LSTMs
- Time Series Anomaly Detection with LSTM Autoencoders
- Object Detection on Custom Dataset
- Image Data Augmentation
- Sentiment Analysis
mcren88 / deep-learning-for-hackers Goto Github PK
View Code? Open in Web Editor NEWThis project forked from curiousily/deep-learning-for-hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis)
Home Page: https://curiousily.com
License: MIT License