Udemy – Supervised Learning for AI with Python and Tensorflow 2

Gain a deep understanding of Supervised Learning techniques by studying the fundamentals and implementing them in NumPy. Gain hands-on experience using popular Deep Learning frameworks such as Tensorflow 2 and Keras.

Section 1 – The Basics:

• Learn what Supervised Learning is, in the context of AI
• Learn the difference between Parametric and non-Parametric models
• Learn the fundamentals: Weights and biases, threshold functions and learning rates
• An introduction to the Vectorization technique to help speed up our self implemented code
• Learn to process real data: Feature Scaling, Splitting Data, One-hot Encoding and Handling missing data
• Classification vs Regression

Section 2 – Feedforward Networks:

• Learn about the Gradient Descent optimization algorithm.
• Implement the Logistic Regression model using NumPy
• Implement a Feedforward Network using NumPy
• Learn the difference between Multi-task and Multi-class Classification
• Understand the Vanishing Gradient Problem
• Overfitting
• Batching and various Optimizers (Momentum, RMSprop, Adam)

Section 3 – Convolutional Neural Networks:

• Fundamentals such as filters, padding, strides and reshaping
• Implement a Convolutional Neural Network using NumPy
• Introduction to Tensorfow 2 and Keras
• Data Augmentation to reduce overfitting
• Understand and implement Transfer Learning to require less data
• Analyse Object Classification models using Occlusion Sensitivity
• Generate Art using Style Transfer
• One-Shot Learning for Face Verification and Face Recognition
• Perform Object Detection for Blood Stream images

Section 4 – Sequential Data:

• Understand Sequential Data and when data should be modeled as Sequential Data
• Implement a Recurrent Neural Network using NumPy
• Implement LSTM and GRUs in Tensorflow 2/Keras
• Sentiment Classification from the basics to the more advanced techniques
• Understand Word Embeddings
• Generate text similar to Romeo and Juliet
• Implement an Attention Model using Tensorflow 2/Keras

DOWNLOAD LINK: Supervised Learning for AI with Python and Tensorflow 2

Supervised_Learning_for_AI_with_Python_and_Tensorflow_2.part1.rar – 1000.0 MB
Supervised_Learning_for_AI_with_Python_and_Tensorflow_2.part2.rar – 1000.0 MB
Supervised_Learning_for_AI_with_Python_and_Tensorflow_2.part3.rar – 1000.0 MB
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