- Stochastic Gradient Switching for Defense Against White Box Adverserial Evasion Attacks
- AIOps For Cluster Orchestration
- Image Classification with Variable Input Resolution in Keras
- Improving Classification Accuracy with ACGAN (Keras)
- Visualizing How Convolution Neural Networks “See”
- Creating Custom Lambda Layers
- Policy Assessment Using ML
- Deploying deep learning models on AWS lambda
- Generating Adversarial Samples in Keras (Tutorial)
- Active Learning for Fast Data Set Labeling
- Convolutional Generative Adversarial Network: “EyeGaze” Image Generator
- Serving Machine Learning Models Using TensorFlow Serving
- Deploying Machine Learning Models Using Docker
- Investigating RNN Memory Stability
- Time-Series Prediction Using A Simple RNN
- Advantage function in Deep Reinforcement learning
- LSTM vs GRU: Experimental Comparison
- LSTM for Time Series Prediction — Part I
- Input Window Size for Deep Recurrent Reinforcement Learning
- Scaling Reward Values for Improved Deep Reinforcement Learning
- Crowd Density Estimation
- Training Recurrent Neural Networks on Long Sequence
- Q Matrix Update to train Deep Recurrent Q Networks More Effectively
- A deep learning solution to detect and mask human faces in videos
- Getting started with Data Science in 30 days using R programming
- Blocking Inappropriate Images in Search Results
- Deep Neural Networks
- Optimized Nudity Detection
- vRate Smart Internet Filter Chrome Browser Extension
- Using Multiple Classifiers to Improve Accuracy