Neural Networks and Deep Learning starts with a short introduction to deep learning in week 1, followed by 3 full weeks that build your understanding of neural networks by starting with logistic regression implemented with the same structure as a neural net in week 2, shallow nets in week 3 and deep nets in week 4. Key topics include computational graphs and derivatives on graphs, gradient descent, vectorizing code, neural network representations, activation functions, backpropagation and deep nets. The course touches on high level concepts and considerations to frame learning, but the majority of the content focuses on the low-level nuts and bolts of neural network structure and how to translate it into code. The production style is reminiscent of his original machine learning MOOC which was released back in Each week after the first has roughly hours of lecture split up into 5 to 15 minute video segments.
There are plenty of ways to make it fun! Here are 36 of them: Ask the whole class or a small group a question or display with document camera. Have students answer on individual white boards.
Have students quiz each other in pairs with task cardsflash cards, or other test prep questions. Surprise your students by hiding question cards under a few of their seats.
Students with questions are challenged to answer possibly with help from classmates. Play Quiz, Quiz, Trade. Allow students to write answers in chalk on the pavement.
Make a test prep PowerPoint. Use individually or with the whole class. Partner review will keep them accountable. Use the Plickers app to make test review fun and easy. Find out how here.
Have students create test problems and quiz each other. Or use a question from each student to make a mock test for the whole class. Try this fun and free Fact Swap game with your whole class.
Split the class into two or three teams. Teams get a point for correct answers. Add a fun extra point by allowing the student who answered correctly to try to make a basket with a foam ball.
Find out how from Cassie at Create-Abilities. Hide question cards around the room. Students hunt with an answer sheet, answering as they go. Try this fun game using sticky notes from Alyssa at Teaching in the Fast Lane. Set up a review quiz in the form of a pub quiz, with teams of students.
Review Jeopardy style and give the answers, requiring students to answer in the form of a question. Use an online crossword puzzle program to make crosswords puzzles for review. Or go outside and put questions all over the playground. Use a board game, such as Checkers, Trouble, Battleship, or Connect 4.
Students must answer a question card before taking their turns. Put review questions on Jenga blocks. Different skill at each station, rotate them through in groups. This post helps you make sure your centers stay organized. Put kids in two circles of equal number, one inside the other.
The inside circle faces the outside circle.
Each student has a question card. Students each quiz the student across from them. Then, the inside circle moves one to the right. There are fun variations. Find out more with this freebie from Literary Sherri. Play I Have, Who Has with your class.I love learning about the days of the week.
School days are my te. our pal, Backpack Bear Prepare two sentence strips for Session 3 that read Chicka Chicka Boom Boom and Look who is in our room! will be a shared writing list which will review the target letters (consonants only). The principal knows how to apply legal guidelines (e.g., in relation to students with disabilities, bilingual education, confidentiality, discrimination) to protect the rights of students and staff and to improve learning opportunities.
Machine Learning Engineer Nanodegree (Udacity): Udacity’s flagship Machine Learning program, which features a best-in-class project review system and career support. The program is a compilation of several individual Udacity courses, which are free. Algebra 2 Here is a list of all of the skills students learn in Algebra 2!
These skills are organized into categories, and you can move your mouse over any skill name to preview the skill. Learning How to Learn: Powerful mental tools to help you master tough subjects from McMaster University, University of California San Diego.
This course gives you easy access to the invaluable learning techniques used by experts in art, music. Today we are demo-ing the h2o package for machine learning on time series data. What's demo week? Demo Week: Time Series Machine Learning with h2o and timetk.
October 27, By business We’ll go through a workflow that can be used to perform time series machine learning. Step 0: Review data.
Just to show our starting .