LinkedIn - Deep Learning with Python Hands-On Introduction to Deep Learning Models

262.57 MB | 9min 3s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 - Getting started with deep learning.mp4 (3.32 MB)
02 - What you should know.mp4 (1.14 MB)
03 - Using the exercise files.mp4 (2.49 MB)
01 - What are artificial neural networks.mp4 (8.62 MB)
02 - How do neural networks make predictions.mp4 (8.12 MB)
03 - Activation functions in neural networks.mp4 (8.35 MB)
04 - How does a neural network learn.mp4 (7.81 MB)
01 - What is deep learning.mp4 (5.98 MB)
02 - Types of deep learning models.mp4 (10.94 MB)
03 - The evolution of AI, machine learning, and deep learning.mp4 (14.25 MB)
04 - Real-world applications of deep learning.mp4 (23.8 MB)
05 - Challenges with deep learning.mp4 (14.36 MB)
01 - Vectors and matrices.mp4 (7.79 MB)
02 - Tensors.mp4 (10.06 MB)
03 - Derivatives, partial derivatives, and the chain rule.mp4 (8.74 MB)
04 - Gradient descent.mp4 (7.18 MB)
01 - Preparing to build a deep learning model in Python.mp4 (20.68 MB)
02 - Defining a deep learning model in Python.mp4 (14.83 MB)
03 - Training a deep learning model in Python.mp4 (15.11 MB)
01 - Evaluating a deep learning model Predictive accuracy.mp4 (14.67 MB)
02 - Evaluating a deep learning model Confusion matrix.mp4 (8.45 MB)
03 - Evaluating a deep learning model Precision.mp4 (13.74 MB)
04 - Evaluating a deep learning model Recall.mp4 (11.09 MB)
05 - Evaluating a deep learning model F1 score.mp4 (13.71 MB)
01 - Continuing on with deep learning.mp4 (7.15 MB)]
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