18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4.!qB 175.5 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4.!qB 158.0 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4.!qB 88.7 MB
11. Deep Reinforcement Learning (Theory)/14. How to Learn Reinforcement Learning.mp4.!qB 5.0 MB
1. Introduction/2. Overview and Outline.mp4.!qB 4.5 MB
8. Recommender Systems/1. Recommender Systems with Deep Learning Theory.mp4.!qB 3.8 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code Yourself (part 1).mp4.!qB 2.2 MB
16. In-Depth Gradient Descent/6. Adam (pt 2).mp4.!qB 1.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.vtt 28.6 kB
16. In-Depth Gradient Descent/5. Adam (pt 1).vtt 15.0 kB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.9 kB
11. Deep Reinforcement Learning (Theory)/13. Deep Q-Learning DQN (pt 2).vtt 11.9 kB
13. VIP Uncertainty Estimation/1. Custom Loss and Estimating Prediction Uncertainty.vtt 11.5 kB
7. Natural Language Processing (NLP)/9. VIP Making Predictions with a Trained NLP Model.vtt 8.2 kB
1. Introduction/1. Welcome.vtt 5.2 kB
7. Natural Language Processing (NLP)/[Tutorialsplanet.NET].url 128 Bytes
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 0 Bytes
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 0 Bytes