
Explore learning algorithms and model performance measures, including loss minimization with gradient descent, training versus test data, and evaluating neural networks.
Access Google Colab notebooks online for free by signing in with a Google account, and create interactive Python notebooks saved to Google Drive; use Jupyter Book locally for first sections.
Explore Python containers by examining tuples, lists, sets, and dictionaries, detailing immutable properties, indexing, membership, looping, copying, and common operations like add, get, and pop.
Master broadcasting in NumPy by matching array shapes and dimensions for arithmetic. Apply the three broadcasting rules to enable addition, subtraction, and other NumPy operations across arrays.
Master matplotlib plotting in Python by creating line and scatter plots, customizing colors and line styles, setting axis labels, titles, and legends for clear data visualization.
Learn how an MP neuron converts laptop features into boolean inputs, selects a threshold bias, and uses the sigma of inputs to predict labels for new data.
Build an MP neuron that outputs boolean values from inputs, binarizes features with a threshold, visualizes distributions, and prepares train and test data as boolean arrays.
Explore how a perception model uses a loss function to measure misclassification and update weights and bias to minimize loss, iterating until convergence.
Explore the perceptron update rule for two inputs. Misclassifications adjust weights and bias; if true 1 and pred 0, W += X and B -= 1; if true 0 and pred 1, W -= X and B += 1.
Explore the perception model with weights and biases, and understand its binary outputs. The lecture introduces the sigmoid neuron to overcome step-function limitations in data classification.
Explore the sigmoid (logistic) function and how W and B shape its curve: W controls steepness and direction, while B shifts the transition left or right.
Unlock the Future: Master Deep Learning from Scratch with Keras and TensorFlow - Your Gateway to Tomorrow's Technology!
Have you heard the buzz about AI being the future, transforming industries, from self-driving cars to scientific discovery? The rise of deep learning, with advancements in hardware and software, has propelled AI to new heights. As the demand for deep learning experts grows, we present 'Deep Learning from Scratch - Keras TensorFlow,' a course designed by ManifoldAILearning to kickstart your journey into the world of deep learning.
Course Highlights:
1. Basic Nuts & Bolts of Deep Learning:
Lay the foundation with fundamental concepts.
Gain insights into the core principles of deep learning.
2. Crash Course on Python:
Refresh or enhance your Python skills.
A quick guide to Python essentials for deep learning.
3. Understanding Various Models in Deep Learning:
Explore diverse models crucial in deep learning.
Develop a comprehensive understanding of their applications.
4. Implement Deep Learning Neural Networks using Keras with TensorFlow Backend:
Hands-on experience with building neural networks.
Dive into the practical aspect of implementing deep learning models.
5. Implement Deep Learning on Common Types of Problems:
Tackle binary classification, multi-class classification, and regression problems.
Apply your deep learning knowledge to real-world scenarios.
Why Deep Learning 101?
1. Expert-Designed Course Structure:
A well-structured course catering to learners of all levels.
Exercises after each module to reinforce knowledge and boost confidence.
2. High-Quality Intuitive Tutorials:
Comprehensive and intuitive tutorials.
Theoretical concepts explained through videos, followed by practical implementations.
3. Practical Hands-On Exercise:
Code along with us in every practical section.
Build intuition on the functioning of each line of code.
Access downloadable codes and datasets for self-paced practice.
Embark on Your Deep Learning Journey:
Deep Learning 101 is designed to provide you with the essentials needed to kickstart your journey into the realm of deep learning. We believe that preparing for tomorrow's technology starts today. Join us now and be part of the technological revolution shaping today and tomorrow.
"The best time to prepare for tomorrow's technology is by learning today."
Team ManifoldAILearning