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In this video, we will understand Long Short-Term Memory (LSTM) in Deep Learning. LSTMs Long short-term memory (LSTM) is an artificial neural network used in the fields of artificial intelligence and deep learning. Unlike standard feedforward neural networks, LSTM has feedback connections. Such a recurrent neural network (RNN) can process not only single data points (such as images) but also entire sequences of data (such as speech or video). For example, LSTM is applicable to tasks such as unsegmented, connected handwriting recognition, speech recognition, machine translation, robot control, video games, and healthcare. #deeplearning #lstm #datascience Source: https://colah.github.io/posts/2015-08... Chapters: 00:00 - Geometrical intuitions to LSTM 08:44 - Forget Gate 12:22 - Input Gate 15:42 - Output Gate 17:15 - Conclusion about LSTM If you would like to support this channel and my work through BHIM-UPI: 919870794639@federal PayPal: paypal.me/adhyapakh 🐍𝑷𝒚𝒕𝒉𝒐𝒏 𝑺𝒌𝒊𝒍𝒍 𝑺𝒆𝒓𝒊𝒆𝒔 👉 • Skill Series - Python 🐙𝑫𝒆𝒆𝒑 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 👉 • Deep Learning 🦾𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈 👉 • Machine Learning 🤖𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 👉 • Artificial Intelligence Tutorials ☁️𝑪𝒍𝒐𝒖𝒅 𝑪𝒐𝒎𝒑𝒖𝒕𝒊𝒏𝒈 👉 • Cloud Computing Tutorials 📶𝑾𝒊𝒓𝒆𝒍𝒆𝒔𝒔 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚 👉 • Wireless Technology Tutorials 🛠️𝑫𝒂𝒕𝒂 𝑴𝒊𝒏𝒊𝒏𝒈 👉 • Data Mining & Business Intelligence ⚙️𝑺𝒊𝒎𝒖𝒍𝒂𝒕𝒊𝒐𝒏 𝑴𝒐𝒅𝒆𝒍𝒊𝒏𝒈 👉 • Simulation Modeling Tutorials 🐘𝑩𝒊𝒈 𝑫𝒂𝒕𝒂 👉 • Big Data Anaytics ⛓️𝑩𝒍𝒐𝒄𝒌𝒄𝒉𝒂𝒊𝒏 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚 👉 • Blockchain Technology 💡𝑰𝑶𝑻 👉 • Internet Of Things 𝓕𝓸𝓵𝓵𝓸𝔀 𝓶𝓮 𝓸𝓷 𝓘𝓷𝓼𝓽𝓪𝓰𝓻𝓪𝓶 👉 / adhyapakh 𝓥𝓲𝓼𝓲𝓽 𝓶𝔂 𝓟𝓻𝓸𝓯𝓲𝓵𝓮 👉 / reng99 𝓖𝓲𝓽𝓗𝓾𝓫👉 https://github.com/ranjiGT