This Deep Learning tutorial will help you in understanding what is Deep Learning, why do we need Deep learning, what is neural network, applications of Deep Learning, what is perceptron, implementing logic gates using perceptron, types of neural networks. At the end of the video, you will get introduced to TensorFlow along with a usecase implementation on recognizing hand-written digits. Deep Learning is inspired by the integral function of the human brain specific to artificial neural networks. These networks, which represent the decision-making process of the brain, use complex algorithms that process data in a non-linear way, learning in an unsupervised manner to make choices based on the input. Deep Learning, on the other hand, uses advanced computing power and special type of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. We will also understand neural networks and how they work in this Deep Learning tutorial video. This Deep Learning tutorial is ideal for professionals with beginner to intermediate level of experience. Now, let us dive deep into this topic and understand what Deep Learning actually is. Course Length: 1:10:51 Source:Simplilearn
FAQ
Most frequent questions and answers
Co-operative education is a three-way partnership between the university, students and employers. Students apply their classroom knowledge in a series of four-month work experiences. You, the employer, enhance a student’s education, while reaping the unique benefits of CO-OP employees.
- Year-round access to well-motivated, qualified employees.
- Access to potential full-time staff in a controlled environment, reducing your costs and risks.
- Access to a cost-effective source of temporary employees for peak periods or special projects.
- A say in what students learn by working with the university.
- Promotion of your organization as one that believes in developing the potential of young people.
- Access to a great pool of French-speaking, English-speaking and bilingual students.
Most work terms run at least 15 weeks, or four months. They can be no shorter than 13 weeks. Some master’s students, as well as some science and engineering students, are available for 8 or 12 months’ work terms.
All jobs are reviewed by a CO-OP Program Coordinator, and only those providing students with work experience related to their professional development are approved. Administrative activities involved in a job should be less than 10% of the entire workload.
When you first contact SSC, you are assigned one of our Program Coordinators, depending on your discipline of interest. This person is your main contact in our office. As you move through the recruitment process, you also work with a representative from CO-OP Administrative Services, who assists with job posting and interview scheduling.
Internships offer usually one discipline-specific, supervised, structured paid or unpaid, and for academic credit work experience or practice placement.
Work Experience intersperses one or two work terms (typically full-time) into an academic program, where work terms provide experience in a workplace setting related to the student’s field of study and/or career goals.
Community Service Learning (CSL) integrates meaningful community service with classroom instruction and critical reflection to enrich the learning experience and strengthen communities. In practice, students work in partnership with a community-based organization to apply their disciplinary knowledge to a challenge identified by the community.
Field Placement provides students with an intensive part-time/short term intensive hands-on practical experience in a setting relevant to their subject of study. Field placements may not require supervision of a registered or licensed professional and the completed work experience hours are not required for professional certification. Field placements account for work-integrated educational experiences not encompassed by other forms, such as co-op, clinic, practicum, and internship.
