Udemy - Deep Learning Convolutional Neural Networks in Python (5.2025)

• 13. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4-309.11 MB
• 06. Natural Language Processing (NLP)/5. Text Classification with CNNs.mp4-298.9 MB
• 05. Convolutional Neural Networks/4. Why use 0-indexing.mp4-200.95 MB
• 13. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4-192 MB
• 03. Machine Learning and Neurons/4. Classification Notebook.mp4-172.09 MB
• 15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4-136.36 MB
• 15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4-134.82 MB
• 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/8. Proof that using Jupyter Notebook is the same as not using it.mp4-108.44 MB
• 02. Google Colab/2. Uploading your own data to Google Colab.mp4-103.32 MB
• 05. Convolutional Neural Networks/12. Improving CIFAR-10 Results (Legacy).mp4-101.21 MB
• 04. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4-99.18 MB
• 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to Code by Yourself (part 1).mp4-93.55 MB
• 03. Machine Learning and Neurons/6. Regression Notebook.mp4-87.59 MB
• 02. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4-71.61 MB
• 03. Machine Learning and Neurons/8. How does a model learn.mp4-60.59 MB
• 15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4-60.19 MB
• 05. Convolutional Neural Networks/6. CNN Architecture.mp4-59.72 MB
• 04. Feedforward Artificial Neural Networks/4. Activation Functions.mp4-59.51 MB
• 06. Natural Language Processing (NLP)/3. Text Preprocessing.mp4-59.42 MB
• 05. Convolutional Neural Networks/7. CNN Code Preparation.mp4-57.6 MB
• 03. Machine Learning and Neurons/2. What is Machine Learning.mp4-47.96 MB
• 05. Convolutional Neural Networks/5. Convolution on Color Images.mp4-45.87 MB
• 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. How to use Github & Extra Coding Tips (Optional).mp4-44.42 MB
• 04. Feedforward Artificial Neural Networks/9. ANN for Image Classification.mp4-44.34 MB
• 06. Natural Language Processing (NLP)/2. Code Preparation (NLP).mp4-44.31 MB
• 05. Convolutional Neural Networks/1. What is Convolution (part 1).mp4-43.42 MB
• 16. Appendix FAQ Finale/1. BONUS.mp4-43.17 MB
• 04. Feedforward Artificial Neural Networks/6. How to Represent Images.mp4-43.08 MB
• 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4-42.86 MB
• 03. Machine Learning and Neurons/10. Saving and Loading a Model.mp4-41.69 MB
• 03. Machine Learning and Neurons/11. Suggestion Box.mp4-39.8 MB
• 05. Convolutional Neural Networks/8. CNN for Fashion MNIST.mp4-38.54 MB
• 11. In-Depth Gradient Descent/5. Adam (pt 1).mp4-38.11 MB
• 03. Machine Learning and Neurons/3. Code Preparation (Classification Theory).mp4-37.75 MB
• 09. Practical Tips/1. Advanced CNNs and how to Design your Own.mp4-37.25 MB
• 08. Convolutional Neural Network Description/2. Tracking Shapes in a CNN.mp4-37.05 MB
• 02. Google Colab/3. Where can I learn about Numpy, Scipy, Matplotlib, Pandas, and Scikit-Learn.mp4-36.56 MB
• 07. Convolution In-Depth/1. Real-Life Examples of Convolution.mp4-36.18 MB
• 06. Natural Language Processing (NLP)/1. Embeddings.mp4-35.98 MB
• 04. Feedforward Artificial Neural Networks/8. Code Preparation (ANN).mp4-32.31 MB
• 02. Google Colab/4. Temporary 403 Errors.mp4-31.71 MB
• 11. In-Depth Gradient Descent/6. Adam (pt 2).mp4-31.32 MB
• 04. Feedforward Artificial Neural Networks/5. Multiclass Classification.mp4-30.77 MB
• 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Where To Get the Code Troubleshooting.mp4-29.62 MB
• 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/6. How to Code by Yourself (part 2).mp4-29.29 MB
• 04. Feedforward Artificial Neural Networks/3. The Geometrical Picture.mp4-28.66 MB
• 14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/10. Is Theano Dead.mp4-27.91 MB
• 03. Machine Learning and Neurons/7. The Neuron.mp4-26.36 MB
• 05. Convolutional Neural Networks/9. CNN for CIFAR-10.mp4-25.79 MB
• 05. Convolutional Neural Networks/10. Data Augmentation.mp4-25.77 MB