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Description of  Master Deep Learning in 2023 A Comprehensive Bootcamp

2023 Created by Satyajit Pattnaik MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 37 Lectures ( 6h 0m ) | Size: 3.93 GB Unleashing the Power of AI: From Basics to Advanced Techniques in Deep Learning What you'll learn Understand and articulate the fundamental concepts of artificial intelligence (AI). Apply various deep learning models, including neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory. Utilize popular deep learning frameworks such as Tensorflow and Keras to design, train, and optimize deep learning models for different tasks. Analyze real-world problems, design appropriate AI solutions using deep learning techniques. Requirements Programming Knowledge: Familiarity with a programming language is required, preferably Python, as it is widely used in AI and deep learning applications. The course will include Python coding, so some previous experience will be useful, but an advanced level is not necessary. Mathematics: Basic understanding of linear algebra, calculus, and statistics is desirable. These topics underpin many AI and deep learning algorithms. While we will explain these concepts as they arise, having prior knowledge will aid understanding. Deep Learning Software: We will be using deep learning frameworks like TensorFlow, PyTorch, and Keras. Installation guides and instructions will be provided at the start of the course. Description Who this course is for Beginners in AI and Deep Learning: Individuals with a basic understanding of programming and mathematics who are eager to step into the field of AI and deep learning. No prior knowledge of AI or machine learning is required. Data Scientists and Machine Learning Practitioners: Professionals who already work with data and machine learning, but want to deepen their knowledge and skillset in the specific area of deep learning. This course provides an in-depth look into the advanced techniques used in the industry. Students and Researchers in AI and related fields: Those who are currently studying or conducting research in AI, computer science, data science, or a related field, and want to expand their understanding of deep learning. The course can serve as a comprehensive supplement to their academic learning. Software Engineers and Developers: Technologists who want to expand their capabilities to include AI and deep learning, potentially aiming for roles that require these skills. The course covers practical applications and model implementation that can be integrated into software solutions. rl=Part 1rl rl=Part 2rl rl=Part 3rl rl=Part 4rl rl=Part 5rlPublished 7